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This document provides information about two clinical trials related to cancer research. The first trial, NCT06565923, focuses on the use of artificial intelligence and multimodal omics features in the staging and prognosis monitoring of bladder cancer. The trial involves gathering patient information from 2012 to 2023, including MRI images, blood/urine samples, and tissue samples. Deep learning and machine learning models will be used to analyze the data. The second study mentioned in the document is a retrospective study on using deep learning to distinguish pancreatic cancer tissue from non-cancerous tissue. The document also includes recruitment information for a separate study on bladder cancer. Specific findings or results from the studies are not provided. [Extracted from the article]

A clinical trial, NCT06574295, has been launched to assess the use of non-intubated video-assisted thoracic surgery (VATS) for lung nodules. Lung cancer is a prevalent and deadly disease, particularly in China. Traditional treatments are invasive and can have complications, while non-intubated VATS offers a less invasive alternative. The study aims to evaluate the effectiveness, safety, and economic viability of non-intubated VATS through literature reviews, real-world evidence, and cost-effectiveness analysis. The research also seeks to understand patient preferences and provide evidence-based recommendations for the broader adoption of this technology in clinical settings. [Extracted from the article]

A recent study conducted by the Health Research Institute compared the effectiveness of oral dydrogesterone and vaginal progesterone for luteal-phase support (LPS) in assisted reproductive technology (ART) cycles. The study involved 207 infertile women who were randomly divided into two groups. The results showed that the vaginal form of progesterone increased the chance of pregnancy and live birth compared to the oral form. The researchers concluded that vaginal progesterone is effective for LPS in women undergoing fresh embryo transfer. [Extracted from the article]

A study conducted at Radboud University Nijmegen in the Netherlands explores the use of artificial intelligence (AI) technology for the automated detection of breast cancer in digital mammography and digital breast tomosynthesis. The review discusses the development of AI technology, particularly deep learning techniques, and their potential to improve breast cancer detection by reducing false negatives and positives and detecting abnormalities missed by human observers. However, challenges such as the lack of standardized datasets, potential bias in training data, and regulatory approval hinder the widespread adoption of AI in breast cancer screening. The study emphasizes the need for collaboration between researchers, clinicians, and regulatory bodies to address these challenges and promote the implementation of AI in breast cancer screening. [Extracted from the article]

A recent study conducted at Seoul National University Bundang Hospital in South Korea focused on enhancing breast cancer detection accuracy through the use of an AI-driven ultrasound tool called Vis-BUS. The tool incorporates Lesion Detection AI (LD-AI) and Lesion Analysis AI (LA-AI) to differentiate between benign and malignant breast lesions. The study found that Vis-BUS achieved high diagnostic accuracy, with an AUROC of 0.964 and an AUPRC of 0.967. However, further refinement is needed to optimize its performance in areas such as lesion density characterization and calcification detection. [Extracted from the article]

A recent report from Army Medical University in Chongqing, China discusses the application and potential of organoid technology in breast cancer research. Breast cancer is the most common malignant tumor in women, and traditional research models have limitations due to the heterogeneity of breast cancer cells. Organoid technology, which involves constructing tissue analogs with organ characteristics using a patient's tumor tissue, provides a reliable model for preclinical drug screening, research into tumor development mechanisms, and personalized treatment for breast cancer patients. The report highlights the progress, limitations, and prospects of breast cancer organoid technology. [Extracted from the article]

A recent study conducted at Peking University People's Hospital in Beijing, China, explored the feasibility of ovarian tissue cryopreservation (OTC) following graft failure (GF) of allogenic hematopoietic stem cell transplantation (allo-HSCT). The study documented the first case of OTC following GF of allo-HSCT, as well as the cryopreservation of four mature oocytes. The patient, a 22-year-old woman with severe aplastic anemia, underwent successful ovarian cryopreservation using vitrification technology. The research concluded that OTC is applicable for fertility preservation in individuals undergoing GF of HSCT with benign hematological disorders, particularly those who are about to receive a second HSCT. [Extracted from the article]

A recent study conducted at Al-Yarmouk Teaching Hospital in Baghdad, Iraq aimed to determine the level of empathy among physicians and its relation to age, gender, and years of experience. The study involved 300 physicians and utilized a self-administered questionnaire to collect data. The findings revealed that younger physicians with less than 10 years of experience had significantly higher empathy scores compared to their more experienced counterparts. The study suggests that there may be a decline in empathy as years of experience increase, which warrants further investigation. [Extracted from the article]

Zero Candida, an Israeli FemTech medical device start-up, has launched a new digital website to showcase their technology. The company's innovative device uses controlled "Blue Light" to destroy fungus quickly and without side effects, offering a potential solution for women's health issues. The website aims to connect with women worldwide and promote non-chemical candida treatment. Zero Candida is also in the process of applying to the TSX Venture Exchange in Canada for listing its shares. [Extracted from the article]

A recent study conducted at Hebei North University in Zhangjiakou, People's Republic of China, aimed to differentiate between type I and type II epithelial ovarian cancers (EOCs) using computed tomography (CT)-based radiomics and machine learning classifiers. The study included 470 patients with EOCs and utilized various machine learning algorithms to develop radiomics signatures for diagnosis. The best performing model was a combined model that incorporated clinical and radiological features, which showed high accuracy in distinguishing between type I and type II EOCs. The researchers concluded that this model could be a valuable tool for individualized EOC classification. [Extracted from the article]

Researchers from Kenyatta University have developed a real-time pre-eclampsia prediction model using IoT (Internet of Things) and machine learning technology. Pre-eclampsia is a hypertensive disease that occurs during pregnancy and can lead to adverse birth outcomes and maternal deaths. The model involves monitoring the health status of expectant women and their unborn children remotely, allowing for early diagnosis of pre-eclampsia and improved birth outcomes. The prototype generates alerts when a woman is at risk, and further research will be conducted to evaluate its performance in a real environment. [Extracted from the article]

A research team, including Professor Fatima Merchant from the University of Houston, is working on designing patient-specific molds for breast cancer patients undergoing reconstructive surgery. The project, funded by a $2.7 million grant from the National Institutes of Health, aims to make breast reconstruction more efficient and reduce time in care. The team plans to conduct a randomized controlled clinical trial to evaluate the impact of the molds. The new algorithm-driven breast molds have the potential to reduce the cost, pain, and risk associated with reconstruction by minimizing the number of procedures a patient needs. [Extracted from the article]

This document provides information about a clinical trial in South Korea, NCT06555692, which is studying the effectiveness and safety of a specific acellular dermal matrix (ADM) called SC DERM(R) Recon in breast reconstruction surgery. The trial aims to compare the outcomes of breast reconstruction using SC Derm with other ADM products. The study will involve up to 120 female subjects and will assess cosmetic outcomes, patient satisfaction, and the occurrence of complications. The document includes eligibility criteria and contact information for those interested in participating or seeking more information. [Extracted from the article]

A clinical trial, NCT06555276, has been launched to evaluate the efficacy and safety of disposable linear cutting staplers and components in soft tissue resection, transection, and anastomosis. The trial is a multi-center and retrospective cohort study conducted in China, aiming to collect clinical application data from Chinese patients and analyze the data to confirm the expected effectiveness and safety. The study device, developed by Jiangsu Channel Medical Device Co., Ltd, has been registered in China for many years and certified by the European Union. The trial is not yet recruiting participants and is expected to be completed by December 31, 2024. [Extracted from the article]

A recent study conducted by the Graduate School of Medical Sciences in Okinawa, Japan, explores the potential usefulness of ultra-high-resolution computed tomography (U-HRCT) in quality assurance for the remote after-loading system (RALS) used in cervical cancer treatment. The researchers found that U-HRCT was able to detect a linear crack in an applicator that was not identified by the lower-resolution treatment-planning CT. This suggests that U-HRCT may have superior potential in detecting applicator damage and could be beneficial for quality assurance in the RALS procedure. The study was funded by Canon Medical Systems and published in the Journal of Radiation Research. [Extracted from the article]

A recent study conducted at Linkou Medical Center in Taiwan explores the relationship between adenomyosis, a condition characterized by endometriosis of the uterus, and infertility. The research suggests that adenomyosis can lead to impaired implantation and early embryo development, resulting in disrupted fertility. Both pharmaceutical and surgical treatments for adenomyosis have shown positive impacts on reproductive outcomes, improving pregnancy and live birth rates. The study also highlights the potential benefits of pre-treatment with gonadotropin-releasing hormone agonist (GnRHa) in improving implantation rates and offers patient-specific treatment options. [Extracted from the article]

A study conducted at Wenzhou Medical University in China aimed to develop a machine learning model to predict the probability of achieving total pathological complete response (tpCR) in patients with locally advanced breast cancer (LABC) after neoadjuvant chemotherapy (NAC). The study included data from 698 LABC patients and used six machine learning algorithms to construct predictive models. The K-nearest neighbors (KNN) model performed the best, accurately predicting tpCR probability. The study also utilized SHapley Additive exPlanations (SHAP) technology to improve the interpretability of the model. The researchers concluded that the model could assist in clinical decision-making and therapy optimization. [Extracted from the article]

Researchers from Mohammed V University in Rabat, Morocco have developed a new wearable thermography system called the HealthCare Bra System (HCBS) for early breast cancer detection. The HCBS is a portable, noninvasive, and passive biomedical device that accurately measures temperature gradients on the surface of the breast. It collects metabolic data in real time using bio microsensors and transmits the data to a web server for analysis. The system has shown promising results in simulations and will undergo clinical trials to evaluate its potential as a complementary medical device for monitoring breast health. [Extracted from the article]

A study conducted by researchers at Zhejiang University in Hangzhou, China, has developed a polymerase chain reaction (PCR)-based assay called Dalton Mutation Identifier Technology (Dalton-MIT) to detect polymerase epsilon (POLE) mutations in endometrial carcinoma. The study found that the incidence rate of POLE mutation was 11.4% among the 613 patients tested, and patients with POLE mutations had better clinicopathologic characteristics and prognosis compared to those without. The sensitivity of Dalton-MIT for detecting POLE pathogenic mutations was 100%, and the study suggests that Dalton-MIT represents a promising alternative assay for detecting POLE mutations in endometrial carcinoma. [Extracted from the article]

A study conducted by researchers at Nanjing Medical University in China explored the use of indocyanine green (ICG) fluorescence-guided technology as a method for assessing surgical margins in breast cancer surgery. The study included 69 breast cancer patients who underwent tumor resection with the assistance of ICG fluorescence. The findings showed that ICG fluorescence achieved a sensitivity of 81.82% and a specificity of 75.82%. The researchers concluded that these findings support further development and assessment of ICG fluorescence in clinical practice. [Extracted from the article]

A clinical trial, NCT06545435, is underway to develop and validate new equations for predicting fat mass and lean mass in Caucasian adults with obesity. The trial aims to improve the accuracy and applicability of bioelectrical impedance analysis (BIA) in assessing body composition. The study will compare new BIA equations with existing models and validate them using dual-energy X-ray absorptiometry and magnetic resonance imaging. The goal is to develop standardized algorithms for converting BIA data across different devices and populations. The study is recruiting participants in multiple countries and excludes individuals with chronic diseases or medications that affect body composition. [Extracted from the article]

This document provides information about a clinical trial conducted at Qilu Hospital of Shandong University in China. The trial focuses on sacral nerve regulation treatment for urinary and defecation dysfunction caused by spinal cord injury. The trial is currently recruiting participants and aims to evaluate the effectiveness of sacral neuromodulation in improving bladder and bowel function. The document includes details about the eligibility criteria for participants and contact information for the primary investigator. [Extracted from the article]

A clinical trial, NCT06545877, has been launched to study the use of REKOVELLE PEN S.C. Injection for controlled ovarian stimulation in assisted reproductive technologies. The trial aims to develop multiple oocytes in women undergoing assisted reproduction such as in vitro fertilization or intracytoplasmic sperm injection. The trial is currently recruiting participants and is expected to be completed by June 2029. The study is being conducted by Ferring Pharmaceuticals and is focused on women's health and reproductive medicine. [Extracted from the article]

A recent study conducted by researchers at Khon Kaen University in Thailand aimed to develop an in-house breast phantom and assess its effectiveness in improving students' knowledge of mammographic positioning. The breast phantom, constructed using various materials, was found to significantly improve students' knowledge scores after training. The participants, consisting of 63 Radiologic Technology students, expressed high overall satisfaction with the training aid. The study concludes that the breast phantom shows potential as an effective educational tool, but further research is needed to develop more advanced phantoms and explore alternative teaching methods. [Extracted from the article]

A study conducted by the University of Texas MD Anderson Cancer Center examined the impact of geographic factors on the utilization of fertility-sparing treatment or assisted reproductive technology (ART) among women with gynecologic or breast cancer. The study found that women who lived farther away from gynecologic oncology or fertility clinics had decreased odds of undergoing fertility-sparing treatment. Additionally, individuals who lived in communities with higher California Healthy Places Index scores had greater odds of undergoing fertility-sparing treatment and ART. The research highlights the need for equitable access to fertility-preservation services by considering geographic disparities. [Extracted from the article]

A study conducted at Prince of Songkla University aimed to develop a computed tomography (CT) scoring system for differentiating between benign and malignant ovarian tumors. The study included 144 female patients who underwent abdominal/pelvic CT scans for evaluation of ovarian masses. The researchers found that the presence of solid components and metastasis were significant independent factors for differentiating between benign and malignant tumors. The CT scoring system showed high sensitivity and specificity in distinguishing between the two types of tumors. This research provides valuable insights for the diagnosis and treatment of ovarian cancer. [Extracted from the article]

A recent report discusses the findings of a study conducted by researchers at Shahid Sadoughi University of Medical Sciences in Iran on the impact of different embryo transfer techniques on the success of assisted reproductive technology (ART). The study compared the outcomes of sequential embryo transfer (ET) with single cleavage-stage ET in women undergoing infertility treatments. The results showed that sequential ET resulted in significantly higher rates of clinical and chemical pregnancies compared to single-step cleavage ET. The researchers concluded that sequential fresh ET can be a beneficial option for women with a limited number of embryos, improving the outcomes of ART. [Extracted from the article]

Researchers have developed two new mouse genetic tools, Myh11-Cre and Myh11-CreER, which can specifically label smooth muscle cells (SMCs) regardless of gender. These tools overcome the limitations of sex-linked inheritance and provide resources for studying the dynamics of SMCs in the cardiovascular system. SMCs play a crucial role in maintaining arterial vessels and undergo changes during pathological conditions such as aortic aneurysm. The new mouse models allow for the tracing of SMCs in both male and female mice, providing a platform for investigating gender disparities in SMC function and disease states. [Extracted from the article]

A study conducted by researchers at Shahid Sadoughi University of Medical Sciences in Iran investigated the effect of adding L-Carnitine to gonadotropins on assisted reproductive technology (ART) outcomes in women with polycystic ovarian syndrome (PCOS). The study involved 83 PCOS patients who were randomly assigned to either an L-Carnitine supplemented group or a control group. The results showed that oral L-Carnitine administration did not improve laboratory and pregnancy outcomes in PCOS women undergoing ART. This information may be useful for individuals researching ART and its potential benefits for women with PCOS. [Extracted from the article]

A recent study conducted by researchers at the University of Teramo explores the use of tissue engineering in reproductive medicine. The study focuses on the development of a bioinspired scaffold made from poly(e-caprolactone) (PCL) for the growth of preantral follicles. The results show that the PCL scaffold provides a suitable microenvironment for follicle growth and oogenesis, with the potential to generate transplantable artificial ovaries or advance in vitro fertilization (ivF) technologies. This research contributes to the field of assisted reproductive technologies (ARTs) and offers new possibilities for addressing reproductive problems such as infertility and genetic selection. [Extracted from the article]

A recent study conducted at Universidade da Beira Interior focused on the determination of arylcyclohexylamine (ACH) compounds in biological specimens. ACH compounds are commonly found in new psychoactive substances and are often used recreationally or in drug-facilitated sexual assault cases. The study explored the strategies used by forensic specialists to identify and quantify ACH compounds in the laboratory, as well as the development of more sensitive sensors for point-of-care testing. The research emphasized the need for higher sensitivity in analyzing various samples and ongoing efforts to improve sensor technology. [Extracted from the article]

A recent study conducted by researchers at Superior University in Lahore, Pakistan, has developed a new medical diagnostic system for early breast cancer detection. By integrating Internet of Things (IoT) technology with artificial intelligence (AI) and machine learning (ML) methods, the system accurately distinguishes between patients with and without tumors. The proposed model achieved a 95% classification accuracy using a Convolutional Neural Network (CNN) with hyperparameter adjustment. The researchers believe that this system has the potential to revolutionize healthcare delivery and improve patient outcomes on a global scale by increasing early detection rates and reducing breast cancer deaths. [Extracted from the article]

A recent study conducted at the Nobel Medical College Teaching Hospital in Nepal explored the structural changes in respiratory diseases such as asthma, chronic obstructive pulmonary disease, and bronchiectasis. The study utilized noninvasive computed tomography to assess airway remodeling and focused on measuring the bronchoarterial ratio (BAR) and its associations with age, gender, smoking history, and altitude of residence. The findings indicated that BAR could be a valuable indicator of airway disease severity, particularly in the Nepalese population. The study provides insights into respiratory diseases in this specific demographic and contributes to the understanding of airway remodeling. [Extracted from the article]