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Surgery remains the primary treatment modality in the management of early-stage invasive breast cancer. Artificial intelligence (AI)-powered visualization platforms offer the compelling potential to aid surgeons in evaluating the tumor's location and morphology within the breast and accordingly optimize their surgical approach. We sought to validate an AI platform that employs dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) to render three-dimensional (3D) representations of the tumor and 5 additional chest tissues, offering clear visualizations as well as functionalities for quantifying tumor morphology, tumor-to-landmark structure distances, excision volumes, and approximate surgical margins. This retrospective study assessed the visualization platform's performance on 100 cases with ground-truth labels vetted by 2 breast-specialized radiologists. We assessed features including automatic AI-generated clinical metrics (e.g., tumor dimensions) as well as visualization tools including convex hulls at desired margins around the tumor to help visualize lumpectomy volume. The statistical performance of the platform's automated features was robust and within the range of inter-radiologist variability. These detailed 3D tumor and surrounding multi-tissue depictions offer both qualitative and quantitative comprehension of cancer topology and may aid in formulating an optimal surgical approach for breast cancer treatment. We further establish the framework for broader data integration into the platform to enhance precision cancer care., Competing Interests: Competing interests K.W.Z. and S.W. were not compensated for their roles in this study, and they declare no Competing Financial or Non-Financial Interests. M.W., J.R.P., S.P., M.B., A.P., V.K., E.K., A.P., J.E.B., J.R.R., R.A., Y.Z., A.S., D.L-R., J.R.P., and A.A. declare no Competing Non-Financial Interests, but they declare the following Competing Financial Interests: employment by SimBioSys, Inc. and receipt of compensation in the form of salary and stock options., (© 2024. The Author(s).)

Breast cancer has become the most common cancer in the US and worldwide. While advances in early detection and treatment have resulted in a 40% reduction in breast cancer mortality, this reduction has not been achieved uniformly among racial groups. A large percentage of non-metastatic breast cancer mortality is related to the cardiovascular effects of breast cancer therapies. These effects appear to be more prevalent among patients from historically marginalized racial/ethnic backgrounds, such as African American and Hispanic individuals. Anthracyclines, particularly doxorubicin and daunorubicin, are the first-line treatments for breast cancer patients. However, their use is limited by their dose-dependent and cumulative cardiotoxicity, manifested by cardiomyopathy, ischemic heart disease, arrhythmias, hypertension, thromboembolic disorders, and heart failure. Cardiotoxicity risk factors, such as genetic predisposition and preexisting obesity, diabetes, hypertension, and heart diseases, are more prevalent in racial/ethnic minorities and undoubtedly contribute to the risk. Yet, beyond these risk factors, racial/ethnic minorities also face unique challenges that contribute to disparities in the emerging field of cardio-oncology, including socioeconomic factors, food insecurity, and the inability to access healthcare providers, among others. The current review will address genetic, clinical, and social determinants that potentially contribute to this disparity.

Background: Generalizable population-based studies are unable to account for individual tumor heterogeneity that contributes to variability in a patient's response to physician-chosen therapy. Although molecular characterization of tumors has advanced precision medicine, in early-stage and locally advanced breast cancer patients, predicting a patient's response to neoadjuvant therapy (NAT) remains a gap in current clinical practice. Here, we perform a study in an independent cohort of early-stage and locally advanced breast cancer patients to forecast tumor response to NAT and assess the stability of a previously validated biophysical simulation platform., Methods: A single-blinded study was performed using a retrospective database from a single institution (9/2014-12/2020). Patients included: ≥ 18 years with breast cancer who completed NAT, with pre-treatment dynamic contrast enhanced magnetic resonance imaging. Demographics, chemotherapy, baseline (pre-treatment) MRI and pathologic data were input into the TumorScope Predict (TS) biophysical simulation platform to generate predictions. Primary outcomes included predictions of pathological complete response (pCR) versus residual disease (RD) and final volume for each tumor. For validation, post-NAT predicted pCR and tumor volumes were compared to actual pathological assessment and MRI-assessed volumes. Predicted pCR was pre-defined as residual tumor volume ≤ 0.01 cm 3 (≥ 99.9% reduction)., Results: The cohort consisted of eighty patients; 36 Caucasian and 40 African American. Most tumors were high-grade (54.4% grade 3) invasive ductal carcinomas (90.0%). Receptor subtypes included hormone receptor positive (HR+)/human epidermal growth factor receptor 2 positive (HER2+, 30%), HR+/HER2- (35%), HR-/HER2+ (12.5%) and triple negative breast cancer (TNBC, 22.5%). Simulated tumor volume was significantly correlated with post-treatment radiographic MRI calculated volumes (r = 0.53, p = 1.3 × 10 -7 , mean absolute error of 6.57%). TS prediction of pCR compared favorably to pathological assessment (pCR: TS n = 28; Path n = 27; RD: TS n = 52; Path n = 53), for an overall accuracy of 91.2% (95% CI: 82.8% - 96.4%; Clopper-Pearson interval). Five-year risk of recurrence demonstrated similar prognostic performance between TS predictions (Hazard ratio (HR): - 1.99; 95% CI [- 3.96, - 0.02]; p = 0.043) and clinically assessed pCR (HR: - 1.76; 95% CI [- 3.75, 0.23]; p = 0.054)., Conclusion: We demonstrated TS ability to simulate and model tumor in vivo conditions in silico and forecast volume response to NAT across breast tumor subtypes., (© 2023. The Author(s).)

In patients with hypertriglyceridemia, a short-term low-saturated fat vs high-saturated fat diet induced lower plasma lipids and improved monocyte phenotypes. These findings highlight the role of diet fat content and composition for monocyte phenotypes and possibly cardiovascular disease risk in these patients. (Effects of Dietary Interventions on Monocytes in Metabolic Syndrome; NCT03591588)., Competing Interests: This work was supported by National Institutes of Health grants R01HL098839, R01DK121348, R01AG065197 (Dr Wu), and R01AI047294 (Dr Simon) and American Heart Association grant 968367 (Dr Wu). Drs Peng, Ni, and Zhang were partially supported by scholarship from the Chinese Scholarship Council. Dr Hoogeveen has received a research grant from Denka Seiken, which provided reagents for small dense LDL-C, RLP-C, and LDL-TG measurements but had no role in the design, analysis, or data interpretation of this study. All other authors have reported that they have no relationships relevant to the contents of this paper to disclose., (© 2023 The Authors.)

Background: Immuno-oncology (IO) therapies targeting the PD-1/PD-L1 axis, such as immune checkpoint inhibitor (ICI) antibodies, have emerged as promising treatments for early-stage breast cancer (ESBC). Despite immunotherapy's clinical significance, the number of benefiting patients remains small, and the therapy can prompt severe immune-related events. Current pathologic and transcriptomic predictions of IO response are limited in terms of accuracy and rely on single-site biopsies, which cannot fully account for tumor heterogeneity. In addition, transcriptomic analyses are costly and time-consuming. We therefore constructed a computational biomarker coupling biophysical simulations and artificial intelligence-based tissue segmentation of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRIs), enabling IO response prediction across the entire tumor., Methods: By analyzing both single-cell and whole-tissue RNA-seq data from non-IO-treated ESBC patients, we associated gene expression levels of the PD-1/PD-L1 axis with local tumor biology. PD-L1 expression was then linked to biophysical features derived from DCE-MRIs to generate spatially- and temporally-resolved atlases (virtual tumors) of tumor biology, as well as the TumorIO biomarker of IO response. We quantified TumorIO within patient virtual tumors ( n = 63) using integrative modeling to train and develop a corresponding TumorIO Score ., Results: We validated the TumorIO biomarker and TumorIO Score in a small, independent cohort of IO-treated patients ( n = 17) and correctly predicted pathologic complete response (pCR) in 15/17 individuals (88.2% accuracy), comprising 10/12 in triple negative breast cancer (TNBC) and 5/5 in HR+/HER2- tumors. We applied the TumorIO Score in a virtual clinical trial ( n = 292) simulating ICI administration in an IO-naïve cohort that underwent standard chemotherapy. Using this approach, we predicted pCR rates of 67.1% for TNBC and 17.9% for HR+/HER2- tumors with addition of IO therapy; comparing favorably to empiric pCR rates derived from published trials utilizing ICI in both cancer subtypes., Conclusion: The TumorIO biomarker and TumorIO Score represent a next generation approach using integrative biophysical analysis to assess cancer responsiveness to immunotherapy. This computational biomarker performs as well as PD-L1 transcript levels in identifying a patient's likelihood of pCR following anti-PD-1 IO therapy. The TumorIO biomarker allows for rapid IO profiling of tumors and may confer high clinical decision impact to further enable personalized oncologic care., Competing Interests: All authors are employed by SimBioSys, Inc. and are involved in the commercial development of the Simul-omics 4D Engine, the TumorIO biomarker, and the TumorIO Score., (Copyright © 2023 Cook, Biancalana, Liadis, Lopez Ramos, Zhang, Patel, Peterson, Pfeiffer, Cole and Antony.)

Objective: We developed an application (https://rush-covid19.herokuapp.com/) to aid US hospitals in planning their response to the ongoing Coronavirus Disease 2019 (COVID-19) pandemic., Materials and Methods: Our application forecasts hospital visits, admits, discharges, and needs for hospital beds, ventilators, and personal protective equipment by coupling COVID-19 predictions to models of time lags, patient carry-over, and length-of-stay. Users can choose from 7 COVID-19 models, customize 23 parameters, examine trends in testing and hospitalization, and download forecast data., Results: Our application accurately predicts the spread of COVID-19 across states and territories. Its hospital-level forecasts are in continuous use by our home institution and others., Discussion: Our application is versatile, easy-to-use, and can help hospitals plan their response to the changing dynamics of COVID-19, while providing a platform for deeper study., Conclusion: Empowering healthcare responses to COVID-19 is as crucial as understanding the epidemiology of the disease. Our application will continue to evolve to meet this need., (© The Author(s) 2020. Published by Oxford University Press on behalf of the American Medical Informatics Association.)

Background: Given the current trends in skin preservation during mastectomy, improved biofilm reduction algorithms, and advancements in tissue bioengineering and perfusion assessment, acellular dermal matrix (ADM)-reinforced single stage, direct to implant insertion in the pre-pectoral space has become a viable alternative to two-stage expander-based, sub-pectoral reconstruction., Methods: The authors performed a retrospective review of their pre-pectoral cases evaluating outcomes for all single stage, direct to implant procedures. Outcomes reviewed included hematoma, seroma, infection, device loss or change, animation deformity and revisional procedures such as fat grafting. The anterior tenting surgical technique is also reviewed., Results: The authors have carried out 305 direct to implant pre-pectoral breast reconstructions using an anterior tenting technique with low complication rates and superior clinical and functional outcomes. The benefits of this technique include less patient discomfort, no need for postoperative expansion, virtually no subjective negative impact on upper extremity function and elimination of animation deformity. Longer-term follow-up demonstrates maintenance of the integrity and quality of the reconstructions over time., Conclusions: The authors consider single stage, pre-pectoral direct to implant breast reconstruction to be a state-of-the-art breast reconstruction technique and have found it to be safe and reproducible. This technique is their primary choice for immediate implant-based reconstruction following mastectomy., Competing Interests: Conflicts of Interest: G Jones is a consultant for Allergan Medical. AK Antony is a consultant for Allergan Medical Inc. and Stryker Inc.

Vascularized composite tissue allotransplantation is a rapidly evolving area that has brought technological advances to the forefront of plastic surgery, hand surgery, and transplant biology. Composite tissue allografts (CTAs) may have profound functional, esthetic, and psychological benefits, but carry with them the risks of life-long immunosuppression and the inadequate abilities to monitor and prevent rejection. Allografts may suffer from additional insults further weakening their overall benefits. Changes in local blood flow, lack of fully restored neurologic function, infection, inflammation with subsequent dysregulated regenerative activity, and paucity of appropriate growth factors may all be involved in reducing the potential of CTAs and therefore serve as new therapeutic targets to improve outcomes. Strategies involving minimized immunosuppression and pro-regenerative therapy may provide a greater path to optimizing long-term CTA function. One such strategy may include mesenchymal stem cells (MSCs), which can provide unique anti-inflammatory and pro-regenerative effects. Insights gained from new studies with MSCs on composite allografts, advances in tissue regeneration reported in other MSC-based clinical studies, as well as consideration of newly described capacities of MSCs, may provide new regenerative based strategies for the care of CTAs.

Oncologic mandibular reconstruction has changed significantly over the years and continues to evolve with the introduction of newer technologies and techniques. Patient demographic, reconstructive, and complication data were obtained from a prospectively maintained clinical database of patients who underwent head and neck reconstruction at our institution. The free fibular flap is now considered the gold standard for mandibular reconstruction. However, in patients with multiple comorbidities, lengthy procedures may be less optimal and pedicled flaps, with specific modifications, can yield reasonable outcomes. Technical aspects and comorbidity profiles are examined in the oncological mandibular reconstruction cohort.

Objective: To describe the clinical and epidemiologic features of pandemic influenza A (H1N1) cases., Methods: This study was conducted in Saudi Aramco Medical Services Organization (SAMSO) facilities in the Eastern province of the Kingdom of Saudi Arabia (KSA). Electronic medical records for H1N1 infected patients who visited SAMSO between June and October 2009 were reviewed retrospectively. Nasopharyngeal and oropharyngeal swabs were collected from suspected patients, and sent to the Ministry of Health (MOH) Regional Laboratory in Dammam, KSA to confirm the diagnosis., Results: A total of 587 cases were diagnosed with H1N1 given an incidence rate of 3.5 per 1000. Most of the infected cases were outpatients. The study showed that H1N1 was more common in the younger age group (median age; 22 years), and in female dependents at all ages, which differs from that reported by other researchers., Conclusion: Influenza A H1N1 was more common in the younger age group and in female dependents, and it was more severe among pregnant women. In addition, obesity did not affect the frequency of H1N1 infection.

We present a system for 3D planning and pre-operative rehearsal of mandibular distraction osteogenesis procedures. Two primary architectural components are described: a planning system that allows geometric bone manipulation to rapidly explore various modifications and configurations, and a visuohaptic simulator that allows both general-purpose training and preoperative, patient-specific procedure rehearsal. We provide relevant clinical background, then describe the underlying simulation algorithms and their application to craniofacial procedures.

Objective: To evaluate the extent of diabetes unawareness in rural North Carolina., Methods: Randomly administered an eight-question survey to African Americans age 15-74 living in Halifax County North Carolina., Results: Ninety-five out of 116 eligible participants completed the survey (82% response rate). Most (67%) of the participants reported having two or more major risk factors for Type II diabetes (diabetes mellitus). More than half (51.6%) of the participants were obese. Most (96.8%) of the participants reported having been tested for diabetes at some point in their lives (10% testedpositive, only 8.4% of the remaining 9o% reported ever having a second test)., Conclusion: Diabetes mellitus is a very prevalentproblem among the African American population of Halifax County North Carolina. Our study underscores the fact that patients are not systematically screened and followed-up for diabetes melitus. More healthcare and commnity programs need to be adapted to fight this serious public health problem.