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Introduction: Artificial Intelligence (AI) has become a key tool for the acceleration of scientific discovery, from accelerated drug discovery through automatic-robotic lab to the discovery of new materials that can help reduce air pollution. Israel is blessed with a unique combination of strong expertise in health and biological sciences, as well as advanced AI technologies. Hence, Israel can potentially become a leader in AI based biomedical scientific discovery. This article compares Israel's achievements in AI and in biomedical scientific discovery with the achievements of selected leading nations. It also highlights opportunities and barriers that Israel encounters in its path to becoming a world-wide leader in AI-based biomedical scientific discovery.

Digitalisation of the healthcare sector promises to revolutionise patient healthcare globally. From the different technologies, virtual tools including artificial intelligence, blockchain, virtual, and augmented reality, to name but a few, are providing significant benefits to patients and the pharmaceutical sector alike, ranging from improving access to clinicians and medicines, as well as improving real-time diagnoses and treatments. Indeed, it is envisioned that such technologies will communicate together in real-time, as well as with their physical counterparts, to create a large-scale, cyber healthcare system. Despite the significant benefits that virtual-based digital health technologies can bring to patient care, a number of challenges still remain, ranging from data security to acceptance within the healthcare sector. This review provides a timely account of the benefits and challenges of virtual health interventions, as well an outlook on how such technologies can be transitioned from research-focused towards real-world healthcare and pharmaceutical applications to transform treatment pathways for patients worldwide., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2021. Published by Elsevier B.V.)

Given the urgent need for coronavirus disease 2019 therapeutics, early in the pandemic the Accelerating Coronavirus Disease 2019 Therapeutic Interventions and Vaccines (ACTIV) public-private partnership rapidly designed a unique therapeutic agent intake and assessment process for candidate treatments of coronavirus disease 2019. These treatments included antivirals, immune modulators, severe acute respiratory syndrome coronavirus 2 neutralizing antibodies, and organ-supportive treatments at both the preclinical and clinical stages of development. The ACTIV Therapeutics-Clinical Working Group Agent Prioritization subgroup established a uniform data collection process required to perform an assessment of any agent type using review criteria that were identified and differentially weighted for each agent class. The ACTIV Therapeutics-Clinical Working Group evaluated over 750 therapeutic agents with potential application for coronavirus disease 2019 and prioritized promising candidates for testing within the master protocols conducted by ACTIV. In addition, promising agents among preclinical candidates were selected by ACTIV to be matched with laboratories that could assist in executing rigorous preclinical studies. Between April 14, 2020, and May 31, 2021, the Agent Prioritization subgroup advanced 20 agents into the Accelerating Coronavirus Disease 2019 Therapeutic Interventions and Vaccines master protocols and matched 25 agents with laboratories to assist with preclinical testing., (Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the Society of Critical Care Medicine and Wolters Kluwer Health, Inc.)

Model-informed drug development (MIDD) has a long and rich history in infectious diseases. This review describes foundational principles of translational anti-infective pharmacology, including choice of appropriate measures of exposure and pharmacodynamic (PD) measures, patient subpopulations, and drug-drug interactions. Examples are presented for state-of-the-art, empiric, mechanistic, interdisciplinary, and real-world evidence MIDD applications in the development of antibacterials (review of minimum inhibitory concentration-based models, mechanism-based pharmacokinetic/PD (PK/PD) models, PK/PD models of resistance, and immune response), antifungals, antivirals, drugs for the treatment of global health infectious diseases, and medical countermeasures. The degree of adoption of MIDD practices across the infectious diseases field is also summarized. The future application of MIDD in infectious diseases will progress along two planes; "depth" and "breadth" of MIDD methods. "MIDD depth" refers to deeper incorporation of the specific pathogen biology and intrinsic and acquired-resistance mechanisms; host factors, such as immunologic response and infection site, to enable deeper interrogation of pharmacological impact on pathogen clearance; clinical outcome and emergence of resistance from a pathogen; and patient and population perspective. In particular, improved early assessment of the emergence of resistance potential will become a greater focus in MIDD, as this is poorly mitigated by current development approaches. "MIDD breadth" refers to greater adoption of model-centered approaches to anti-infective development. Specifically, this means how various MIDD approaches and translational tools can be integrated or connected in a systematic way that supports decision making by key stakeholders (sponsors, regulators, and payers) across the entire development pathway., (© 2021 The Authors. Clinical Pharmacology & Therapeutics published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics.)

The quality of lead compounds is a key factor for determining the success of chemical probe and drug discovery programs. Given that high-throughput screening (HTS) continues to be a dominant lead generation paradigm, access to high-quality screening libraries is crucial for such efforts in both industry and academia. Here, we discuss the strategy implemented a decade ago to build from scratch one of the largest compound collections in academia, containing ∼575 000 carefully annotated small molecules, and a recent multidisciplinary effort designed to further enhance the collection to meet our research demands for the next decade., (Copyright © 2021 Elsevier Ltd. All rights reserved.)

Intraocular retinoblastoma treatment has changed radically over the last decade, leading to a notable improvement in ocular survival. However, eyes that relapse remain difficult to treat, as few alternative active drugs are available. More challenging is the scenario of central nervous system (CNS) metastasis, in which almost no advancements have been made. Both clinical scenarios represent an urgent need for new drugs. Using an integrated multidisciplinary approach, we developed a decision process for prioritizing drug selection for local (intravitreal [IVi], intrathecal/intraventricular [IT/IVt]), systemic, or intra-arterial chemotherapy (IAC) treatment by means of high-throughput pharmacological screening of primary cells from two patients with intraocular tumor and CNS metastasis and a thorough database search to identify clinical and biopharmaceutical data. This process identified 169 compounds to be cytotoxic; only 8 are FDA-approved, lack serious toxicities and available for IVi administration. Four of these agents could also be delivered by IT/IVt. Twelve FDA-approved drugs were identified for systemic delivery as they are able to cross the blood-brain barrier and lack serious adverse events; four drugs are of oral usage and six compounds that lack vesicant or neurotoxicity could be delivered by IAC. We also identified promising compounds in preliminary phases of drug development including inhibitors of survivin, antiapoptotic Bcl-2 family proteins, methyltransferase, and kinesin proteins. This systematic approach may be applied more broadly to prioritize drugs to be repurposed or to identify novel hits for use in retinoblastoma treatment.

The value of model-based translation in drug discovery and development is now effectively being recognized in many disease areas and among various stakeholders. Such quantitative approaches are expected to facilitate the selection on which compound to prioritize for successful development, predict the human efficacious dose based on preclinical data with adequate precision, guide design, and de-risk later development stages. The importance of time-dependencies, which are typically species-dependent due to different turnover rates of biological processes, is, however, often neglected. For bacterial infections, the choice of dosing regimen is typically relying on preclinical pharmacokinetic (PK) and pharmacodynamic (PD) data, because the bacterial load and disease severity, and consequently the PK/PD relationship, cannot be quantified well on clinical data, given the low-information end points used. It is time to recognize the limitations of using time-collapsed approaches for translation (i.e., methods where targets are based on summary measures of exposure and response). Models describing the full time-course captures important quantitative information of drug distribution, bacterial growth, antibiotic killing, and resistance development, and can account for species-differences in the PK profiles driving the killing. Furthermore, with a model-based approach for translation, we can take a holistic approach in development of a joint model for in vitro, in vivo, and clinical data, as well as incorporating information on the contribution of the immune system. Such advancements are anticipated to facilitate rational decision making during various stages of drug development and in the optimization of treatment regimens for different groups of patients., (© 2021 The Authors. Clinical Pharmacology & Therapeutics published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics.)

In 2019, the FDA Oncology Center of Excellence launched Project Orbis, a global collaborative review program to facilitate faster patient access to innovative cancer therapies across multiple countries. Project Orbis aims for concurrent submission, review, and regulatory action for high-impact clinically significant marketing applications among the participating partner countries. Current Project Orbis partners (POP) include the regulatory health authorities (RHA) of Australia, Brazil, Canada, Singapore, and Switzerland. Project Orbis leverages the existing scientific and regulatory partnerships between the various RHA under mutual confidentiality agreements. While FDA serves as the primary coordinator for application selection and review, each country remains fully independent on their final regulatory decision. In the first year of Project Orbis (June 2019 to June 2020), a total of 60 oncology marketing applications were received, representing 16 unique projects, and resulting in 38 approvals. New molecular entities, also known as new active substances, comprised 28% of the received marketing applications. The median time gap between FDA and Orbis submission dates was 0.6 months with a range of -0.8 to 9.0 months. Across the program, the median time-to-approval was similar between FDA (4.2 months, range 0.9-6.9, N = 18) and the POP (4.4 months, range 1.7-6.8, N = 20). Participating countries have signified a strong commitment for continuation and growth of the program. Project Orbis expansion considerations include the addition of more countries and management of more complex applications., (©2020 American Association for Cancer Research.)

Outsourcing has become an integral part of how research and early development (R&D) is executed in biotech companies and large pharmaceutical organizations. Drug discovery organizations can choose from several operational models when partnering with a service provider, ranging from short-term, fee-for-service (FFS)-based arrangements to more strategic full-time-equivalent (FTE)-based collaborations and even risk-sharing relationships. Clients should consider a number of criteria when deciding which contract research organization (CRO) is best positioned to help meet their goals. Besides cost, other factors such as intellectual property protection, problem solving skills, value-creation ability, communication, data integrity, safety and personnel policies, ease of communication, geography, duration of engagement, scalability of capacity, and contractual details deserve proper consideration. In the end, the success of a drug discovery partnership will depend in large part on the people who execute the science.

Only one class of targeted agents (anti-GD2 antibodies) has been incorporated into front-line therapy for neuroblastoma since the 1980s. The Neuroblastoma New Drug Development Strategy (NDDS) initiative commenced in 2012 to accelerate the development of new drugs for neuroblastoma. Advances have occurred, with eight of nine high-priority targets being evaluated in paediatric trials including anaplastic lymphoma kinase inhibitors being investigated in front-line, but significant challenges remain. This article reports the conclusions of the second NDDS forum, which expanded across the Atlantic to further develop the initiative. Pre-clinical and clinical data for 40 genetic targets and mechanisms of action were prioritised and drugs were identified for early-phase trials. Strategies to develop drugs targeting TERT, telomere maintenance, ATRX, alternative lengthening of telomeres (ALT), BRIP1 and RRM2 as well as direct targeting of MYCN are high priority and should be championed for drug discovery. Promising pre-clinical data suggest that targeting of ALT by ATM or PARP inhibition may be potential strategies. Drugs targeting CDK2/9, CDK7, ATR and telomere maintenance should enter paediatric clinical development rapidly. Optimising the response to anti-GD2 by combinations with chemotherapy, targeted agents and other immunological targets are crucial. Delivering this strategy in the face of small patient cohorts, genomically defined subpopulations and a large number of permutations of combination trials, demands even greater international collaboration. In conclusion, the NDDS provides an internationally agreed, biologically driven selection of prioritised genetic targets and drugs. Improvements in the strategy for conducting trials in neuroblastoma will accelerate bringing these new drugs more rapidly to front-line therapy., Competing Interests: Conflict of interest statement LM has participated in advisory boards for Novartis, AstraZeneca, Roche/Genentech, Mundipharma, Bayer and Amgen, has received honoraria from Celgene and Novartis for educational events and travel grants from Mundipharma, Celgene and Amgen, and is a member of the Executive Committee of SIOPEN, a non-profit organisation that receives royalties for the sales of dinutuximab beta. SGD has received travel expenses from Loxo Oncology, Roche, and Salarius and consulting fee from Loxo Oncology. BG has participated in advisory boards for Roche/Genentech, Bayer, BMS, Celgene, Merck KG, Tesaro and Boehringer Ingelheim. MI provides advice to Bayer Canada. SB is an employee of, and owns shares in, Pfizer Ltd. HC is an employee of, and owns shares in, Hoffman La Roche. SD is an employee of Cyclacel Limited. MM and PM are employees of Astrazeneca. JS is 6-THIO-DG Scientific Founder and MAIA Scientific Advisor. GV provides advice to Roche, BMS, Celgene, Takeda, Aceta Pharma, Merck, Bayer, Servier and Novartis. ADJP provides advice to Novartis, Takeda, Merck, Lilly and Celgene., (Copyright © 2020 Elsevier Ltd. All rights reserved.)

Competing Interests: I have read the journal's policy and the authors of this manuscript have the following competing interests: All authors are Novartis employees and Novartis shareholders.

The global response to finding therapeutics for coronavirus disease 2019 (COVID-19) is chaotic even if well intentioned. There is an opportunity, but more importantly, an obligation for the global clinical and quantitative pharmacology community to come together and use our state-of-the-art tools and expertise to help society accelerate therapeutics to fight COVID-19. This brief commentary is a call to action and highlights how the global pharmacology community should contribute to the COVID-19 pandemic and prepare for future pandemics., (© 2020 The Authors. Clinical and Translational Science published by Wiley Periodicals LLC on behalf of the American Society for Clinical Pharmacology and Therapeutics.)

There is a mounting crisis in treatment of bacterial diseases. The appearance of nosocomial infections produced by multi-drug resistant bacteria is rapidly increasing and at the same time the pharmaceutical industry has been abandoning new antibiotic discovery. To help understand why, we investigated the decision-making processes behind three novel antibiotics that were initially discovered in the late 1980's and early 1990's: daptomycin, linezolid, and lysobactin. Each antibiotic was investigated by two highly qualified scientific organizations that came to opposing opinions regarding the clinical utility and commercial potential of the drug. After reviewing the literature and interviewing key scientific staff members working on each of these molecules, we have identified factors needed to generate positive development decisions. Organizational factors included decision timing, therapeutic area focus, organizational support for risk taking and the presence of a project champion. Technical factors included investment in the optimization of dosing for improved drug exposure, toxicological evaluation of the purified eutomer from a diastereomer and the failure to develop an effective research formulation., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2020 Elsevier B.V. All rights reserved.)

Introduction : In the field of neglected disease, mushrooming partnerships have changed the landscape in the last decades. With high diversity in participants, type, scope, and operational models, partnership becomes the ultimate choice for drug discovery and development. This paper aims to reflect on this phenomenon based on experiences and lessons learned, providing insights for the future. Areas covered : Lack of safe and effective drugs for neglected diseases stems from market and public policy failure. Combining resources, skills, and expertise justifies working collaboratively in the R&D quest. The advancement of public-private partnerships (PPP), including product development partnership (PDP) for neglected diseases, is described, herein, including the rationale behind their conception, evolution, expansion, and alternative approaches. The author also discusses the appeals and the pitfalls of partnership in this field. Expert opinion : The progressive partnerships in drug discovery and development for neglected diseases need to be encouraged, especially in alignment with an open science culture. Experiences in partnerships vary with bias for successful ones, rendering more rigorous evaluation and research necessary. Eventually, the focus of improving partnership should not only be on addressing discovery bottlenecks, but also safeguarding access and delivery. Expanding focus to include vaccines and diagnostics is necessary.

Objective: To discuss the major milestones in the history of clinical research and how these correlate with the role of the clinical research nurse., Data Sources: Government Web sites, published articles, and grey literature., Conclusion: The history of clinical research, drug development, and the regulations has come of age, and as a result clinical oncology research has a more defined scope and purpose. With the Oncology Nursing Society and the International Association of Clinical Research Nurses recognizing the scopes of practice for clinical research nursing, such roles are becoming more prevalent and integrated in oncology., Implications for Nursing Practice: It is vital for all clinical research nurses to understand and adhere to the laws and regulations related to clinical trials and human subject protection. The clinical research nurse must ensure good clinical practice and compliance with the regulations to ensure the integrity of the study. There are different types of clinical research, including behavioral, therapeutic, and nontherapeutic studies, where clinical research nurses must understand the treatments and the drug development process to better serve their patients., (Copyright © 2020 Elsevier Inc. All rights reserved.)

In this Personal View, we critically examine the wider context of international efforts to stimulate commercial antibiotic research and development via public-private initiatives. Despite these efforts, antibiotics remain a global resource without an international support structure that is commensurate to the risks from antibiotic-resistant infections and the long-term nature of required solutions. To protect this resource, we propose a two-pronged antibiotic research and development strategy based on a short-term strengthening of incentives (such as market entry rewards) to maximise the delivery of existing opportunities in the pipeline, and on a concurrent medium-term to long-term establishment of a global, publicly funded antibiotic research and development institute. Designed sustainably to deliver novel and first-in-class antibiotics targeting key human health gaps, the institute and its staff would become a global resource that, unlike the private pharmaceutical sector, would be managed as an open science platform. Our model of internationalised public research and development would maximise scientific synergy and cross-fertilisation, minimise replication of effort, acquire and preserve existing know-how, and ensure equitable and sustainable access to novel and effective antibiotics. Its genuinely global focus would also help counteract tendencies to equate donor with global health priorities. Our proposal is not radical. Historical precedent and developments in other research areas show that sustained international funding of publicly owned research can hasten the delivery of critically needed drugs and lower barriers to access., (Copyright © 2020 Elsevier Ltd. All rights reserved.)

In biomedical research, enormous progress is being made and new candidates for putative medicinal products emerge. However, most published preclinical data are not conducted according to the standard Good Laboratory Practice (GLP). GLP is mandatory for preclinical analysis of Advanced Therapy Medicinal Products (ATMP) and thereby a prerequisite for planning and conduction of clinical trials. Not inconsiderable numbers of clinical trials are terminated earlier or fail - do inadequate testing strategies or missing specialized assays during the preclinical development contribute to this severe complex of problems? Unfortunately, there is also a lack of access to GLP testing results and OECD (Organisation for Economic Co-operation and Development) GLP guidelines are not yet adjusted to ATMP specialties. Ultimately, GLP offers possibilities to generate reliable and reproducible data. Therefore, this review elucidates different GLP aspects in drug development, speculates on reasons of putative low GLP acceptance in the scientific community and mentions solution proposals., (Copyright © 2020 Elsevier B.V. All rights reserved.)

Background: Digitization and automation are the buzzwords in clinical research and pharma companies are investigating heavily here. Right from drug discovery to personalized medicine, digital patients and patient engagement, there is great consideration of technology at each step., Methods: The published data and online information available is reviewed to give an overview of digitization in pharma, across the drug development cycle, industry collaborations and innovations. The regulatory guidelines, innovative collaborations across industry, academics and thought leadership are presented. Also included are some ideas, suggestions, way forwards while digitizing the pharma neurons, the regulatory stand, benefits and challenges., Results: The innovations range from discovering personalized medicine to conducting virtual clinical trials, and maximizing data collection from the real-world experience. To address the increasing demand for the real-world data and the needs of tech-savvy patients, the innovations are shaping up accordingly. Pharma companies are collaborating with academics and they are co-innovating the technology for example Massachusetts Institute of Technology's program. This focuses on the modernization of clinical trials, strategic use of artificial intelligence and machine learning using real-world evidence, assess the risk-benefit ratio of deploying digital analytics in medicine, and proactively identifying the solutions., Conclusion: With unfolding data on the impact of science and technology amalgamation, we need shared mindset between data scientists and medical professionals to maximize the utility of enormous health and medical data. To tackle this efficiently, there is a need of cross-collaboration and education, and align with ethical and regulatory requirements. A perfect blend of industry, regulatory, and academia will ensure successful digitization of pharma neurons., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

Model-based meta-analysis (MBMA) is a valuable component of the quantitative pharmacology toolkit for model-informed drug discovery and development. It enables principled decision making with a totality of evidence mindset through integration of internal and external data across multiple dimensions (e.g., targets/mechanisms, molecules/drugs, doses/regimens, diseases/indications, populations, endpoints, and clinical trial designs). MBMA distinguishes itself from traditional meta-analysis by infusing pharmacologic plausibility into the statistical rigor that typifies meta-analytic data integration. This is possible through mechanism-informed formulation of pharmacologically inspired cause-effect and dose-response relationships, time course of treatment effects, and interrelationships between proximal and distal outcomes of modulation of disease biology and pathophysiology. In this review, we offer a question-based approach to enhance appreciation of the value of MBMA across the continuum from drug discovery and translational research through clinical development, comparative effectiveness research, and postapproval optimization of therapeutics using illustrative examples across therapeutic areas., (© 2019 The Authors Clinical Pharmacology & Therapeutics © 2019 American Society for Clinical Pharmacology and Therapeutics.)

The Global Antibiotic Research & Development Partnership (GARDP) has launched a project, REVIVE, to connect and support the antimicrobial research and development (R&D) community. REVIVE's educational activities include a webinar series and sessions and presentations at key conferences. REVIVE also aims to connect antimicrobial researchers with each other and with current and retired experts in the field, and to develop a comprehensive repository of relevant resources for the R&D community., (© The Author(s) 2019. Published by Oxford University Press on behalf of the British Society for Antimicrobial Chemotherapy. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

The discovery of new medicines has become increasingly more challenging and requires significant collaboration between pharma, biotech, academia, and technology to be successful. These partnerships necessitate the streamlined exchange of samples while adhering to the increasingly complex set of legal and proprietary restrictions, government legislation, and ethical considerations associated with samples. There is a significant volume of literature published on clinical sample compliance but little describing compliance aspects of discovery sample management. This paper describes some of the key compliance activities and challenges and shares GlaxoSmithKline's experiences and current practices.

We draw from documented characteristics of the biopharmaceutical industry to construct a model where two firms can choose to outsource R&D to an external unit, and/or engage in internal R&D, before competing in a final market. We investigate the distribution of profits among market participants, and the incentives to coordinate outsourcing activities or to integrate R&D and production. Consistent with the empirical evidence, we find that the sign and magnitude of an aggregate measure of direct (inter-firm) and indirect (through the external unit) technological externalities drives the distribution of industry profits, with higher returns to the external unit when involved in development (clinical trials) than in early-stage research (drug discovery). In the latter case, the delinkage of investment incentives from industry value, together with the ability of firms to transfer risks to the external unit, imply a vulnerability of early-stage investors' returns to negative shocks, and the likely abandonment of projects with economic and medical value. We also find that competition in the equity market makes a buyout by one of the two firms more profitable to a research biotech than to a clinical services unit, and can stimulate early-stage investments. However, this long-term incentive can be minimal, notably if the superior efficiency of outsourced operations originates from economies of scope that can hardly be exploited when a firm takes control of the external unit exclusively for itself. R&D outsourcing thus does not always qualify as a relevant pathway to address the declining productivity in innovation that has characterized the industry over several decades., (Copyright © 2019 Elsevier B.V. All rights reserved.)

The pipeline for new antibiotics is dry. Despite the creation of public/private initiatives like Combating Antibiotic Resistant Bacteria Biopharmaceutical Accelerator (Carb-X) and the Antimicrobial Resistance (AMR) Centre, the current focus on 'push-pull' incentives for the pharmaceutical industry still relies on economic return. We propose a joint, internationally-funded antimicrobial development institute that would fund permanent staff to take on roles previously assigned to pharmaceutical companies. This institute would receive ring-fenced, long-term, core funding from participating countries as well as charities, with the aim to focus on transforming the largely dormant antimicrobial pipeline. Resulting drugs would be sold globally and according to a principle of shared burdens. Our proposed model for antimicrobial development aims to maximise society's investment, through open science, investment in people, and the sharing of intellectual property., Competing Interests: No competing interests were disclosed.

Academic drug discovery is a vital component to current drug discovery and development environments. In this study, we investigated 798 drug discovery projects that took place between 1991 and 2015 at 36 academic institutions in the United States. The observed success rates of academic drug discovery and development were 75% at phase I, 50% at phase II, 59% at phase III, and 88% at the new drug application/biologics license application (NDA/BLA) phase. These results were similar to the corresponding success rates of the pharmaceutical industry. Collaboration between academic institutions and the pharmaceutical industry seemed more important at later stages than earlier ones; all projects that succeeded at phase III or the NDA/BLA stage involved academic-industrial collaboration. Many academic research projects involved neoplasms and infectious diseases, and were focused on small molecules and biologics. The success rates and possible effects of academic-industrial collaboration seemed to vary depending on disease domains and drug modalities., (© 2018 The Authors. Clinical and Translational Science published by Wiley Periodicals, Inc. on behalf of the American Society for Clinical Pharmacology and Therapeutics.)

Unbiased Biomarkers for the Prediction of Respiratory Disease Outcomes (U-BIOPRED) was initiated in the first year of the Innovative Medicines Initiative (IMI). It was an ambitious plan to tackle the understanding of asthma through an integration of clinical and multi-'omics approaches that necessitated the bringing together of industry, academic, and patient representatives because it was too large to be managed by any one of the partners in isolation. It was a novel experience for all concerned. In this review, we describe the main features of the U-BIOPRED experience from the industry perspective. We list some of the key advantages and learnings from the perspective of the authors, and also improvements that we feel could be made in future projects., (Copyright © 2018 Elsevier Ltd. All rights reserved.)

Although external collaboration capability influences the development of personalized medicine, key transactions in the pharmaceutical industry have not been addressed. To explore specific trends in interorganizational transactions and key players, we longitudinally surveyed strategic transactions, comparing them with other advanced medical developments, such as antibody therapy, as controls. We found that the financing deals of start-ups have surged over the past decade, accelerating intellectual property (IP) creation. Our correlation and regression analyses identified determinants of financing deals among alliance deals, acquisition deals, patents, research and development (R&D) licenses, market licenses, and scientific papers. They showed that patents positively correlated with transactions, and that the number of R&D licenses significantly predicted financing deals. This indicates, for the first time, that start-ups and investors lead progress in personalized medicine., (Copyright © 2018 Elsevier Ltd. All rights reserved.)

Our nation's ongoing prescription opioid abuse crisis, amounting to over 78 billion dollars in health and social costs annually, 1 is a critical priority for the US Food and Drug Administration (FDA). As a part of our mission to support the safe and effective use of prescription medicines, the FDA is taking a fresh look at potential scientific and regulatory actions we can take to address this crisis., (Published 2018. This article is a U.S. Government work and is in the public domain in the USA.)

The analgesic, sedative, antidepressant, euphoriant, intoxicating, and addictive properties of opium and its synthetic derivatives are well known and have been known for centuries. Hence, the current major public health problems due to excessive availability should be no surprise. What is unprecedented in the United States, and emerging elsewhere, is the extent of the profound consequences and complexity of addressing this public health crisis., (© 2018 American Society for Clinical Pharmacology and Therapeutics.)

Collaborations between academic, industrial, and nonprofit companies can provide sufficient impetus to propel projects that have little economic return; such projects are prevalent in tropical disease drug discovery. In these collaborations, each partner contributes a unique set of skills and technical expertise which is advantageous to the project as a whole. Highly product-focused processes and specialized expertise sets dominate industry groups. When coupled with the strategic guidance from public-private partnerships and the academic tendency to work on high-risk projects with low financial rewards, a powerful combination results. There are numerous examples throughout the literature about these collaborative efforts to combat a variety of tropical diseases (including leishmaniasis, Chagas disease, African sleeping sickness, and malaria), from all stages of the drug discovery process to the advancement of new drugs into the clinic. However, there is still uncertainty from many academic institutions as to how to establish and engage in these research consortiums. This Viewpoint highlights opportunities, benefits, and suggestions for productive collaborations in this disease space.

The RecA/LexA axis of the bacterial DNA damage (SOS) response is a promising, yet nontraditional, drug target. The SOS response is initiated upon genotoxic stress, when RecA, a DNA damage sensor, induces LexA, the SOS repressor, to undergo autoproteolysis, thereby derepressing downstream genes that can mediate DNA repair and accelerate mutagenesis. As genetic inhibition of the SOS response sensitizes bacteria to DNA damaging antibiotics and decreases acquired resistance, inhibitors of the RecA/LexA axis could potentiate our current antibiotic arsenal. Compounds targeting RecA, which has many mammalian homologues, have been reported; however, small-molecules targeting LexA autoproteolysis, a reaction unique to the prokaryotic SOS response, have remained elusive. Here, we describe the logistics and accomplishments of an academic-industry partnership formed to pursue inhibitors against the RecA/LexA axis. A novel fluorescence polarization assay reporting on RecA-induced self-cleavage of LexA enabled the screening of 1.8 million compounds. Follow-up studies on select leads show distinct activity patterns in orthogonal assays, including several with activity in cell-based assays reporting on SOS activation. Mechanistic assays demonstrate that we have identified first-in-class small molecules that specifically target the LexA autoproteolysis step in SOS activation. Our efforts establish a realistic example for navigating academic-industry partnerships in pursuit of anti-infective drugs and offer starting points for dedicated lead optimization of SOS inhibitors that could act as adjuvants for current antibiotics.

From 2001 to 2017 the Meningitis Vaccine Project (MVP), a Gates Foundation funded partnership between PATH and the World Health Organization (WHO), successfully developed, tested, licensed, and introduced an affordable new Group A meningococcal conjugate vaccine, MenAfriVac, in sub-Saharan Africa. The vaccine was well received, and from 2010 to 2016, over 260 million Africans have received a dose of the vaccine in campaigns largely directed at 1–29-year olds. The public health impact has been dramatic with the elimination of Group A meningococcal infections wherever the vaccine has been used at public health scale. Over its 16-year life span, MVP faced many challenges, and lessons were learned that may be of interest to other groups seeking to develop vaccine products for resource-poor countries. We have chosen to highlight six elements that were keys to the success of the project: (a) country and African regional engagement during all phases of the project; (b) the evolution of the WHO/PATH partnership; (c) funding the introduction of MenAfriVac in meningitis belt countries; (d) regulatory challenges; (e) clinical trials in Africa and India; and (f ) the realities of vaccine development partnerships., ((c) funding the introduction of MenAfriVac in meningitis belt countries; (d) regulatory challenges; (e) clinical trials in Africa and India; and (f) the realities of vaccine development partnerships.)