AI Medical Compendium

Pharmacovigilance in Cell and Gene Therapy: Evolving Challenges in Risk Management and Long-Term Follow-Up.

Drug safety Aug 9, 2025

Cell and gene therapies, including CAR T-cells, CRISPR-based genome editing, and next-generation viral and non-viral delivery platforms, are transforming treatment paradigms across cancer, rare genetic disorders, immune dysregulation, and neurodegene... read more

The use of knowledge graphs for drug repurposing: From classical machine learning algorithms to graph neural networks.

Computers in biology and medicine Aug 9, 2025

Drug repurposing, the development of new therapeutic indications for existing drugs, is a promising strategy in drug development. Computational methods and artificial intelligence may be used to identify new drug repurposing candidates. Knowledge gra... read more

Reframing robotics in Mohs surgery for rare cutaneous sarcomas: conceptual promise and clinical realities in precision oncology.

Journal of robotic surgery Aug 9, 2025

Dermatofibrosarcoma protuberans (DFSP) is a rare, locally aggressive cutaneous sarcoma in which achieving histologically negative margins is paramount to minimizing recurrence. Mohs micrographic surgery (MMS) has transformed margin control in DFSP by... read more

Humans Artificial Intelligence Precision Medicine Skin Neoplasms Robotic Surgical Procedures Sarcoma Margins of Excision Mohs Surgery Dermatofibrosarcoma

Ligand supplementation restores the cancer therapy efficacy of the antirheumatic drug auranofin from serum inactivation.

Nature communications Aug 9, 2025

Auranofin, an FDA-approved antirheumatic gold drug, has gained ongoing interest in clinical studies for treating advanced or recurrent tumors. However, gold ion's dynamic thiol exchange nature strongly attenuates its bioactivity due to the fast forma... read more

Humans Female Animals Neoplasms Antineoplastic Agents Cell Line, Tumor Mice Gold Sulfhydryl Compounds Ligands Xenograft Model Antitumor Assays Antirheumatic Agents Auranofin

Miniaturized Neural Networks for Deploying Fully Closed Loop Insulin Delivery Systems: A Pilot Study Featuring Flexible Meal Announcement Options.

Journal of diabetes science and technology Aug 9, 2025

BACKGROUND: Automated insulin delivery (AID) has revolutionized glucose management. Next-generation AID systems focus on reducing user input, particularly for mealtime dosing, aiming for fully closed loop (FCL) control. Our goal was to assess the saf... read more

Neurobehavioral mechanisms of fear and anxiety in multiple sclerosis.

Communications medicine Aug 9, 2025

BACKGROUND: Anxiety is a common yet often underdiagnosed and undertreated comorbidity in multiple sclerosis (MS). While altered fear processing is a hallmark of anxiety in other populations, its neurobehavioral mechanisms in MS remain poorly understo... read more

Diagnostic accuracy of machine learning approaches to identify psoriatic arthritis: a meta-analysis.

Clinical and experimental medicine Aug 9, 2025

While machine learning (ML) approaches are commonly utilized in medical diagnostics, the accuracy of these methods in identifying psoriatic arthritis (PsA) remains uncertain. To evaluate the accuracy of ML approaches in the medical diagnosis of PsA. ... read more

Humans Machine Learning Sensitivity and Specificity ROC Curve Arthritis, Psoriatic

Nursing leadership and artificial intelligence ethics: Safeguarding relationships and values.

Nursing ethics Aug 9, 2025

The integration of artificial intelligence (AI) into healthcare marks a paradigmatic shift, raising not only technical and organizational challenges but also profound ethical questions. This theoretical-reflective paper explores the ethical dimension... read more

A new framework for evaluating land suitability for Goji (Lycium barbarum L.) cultivation across China.

Journal of environmental management Aug 9, 2025

As a valuable Chinese medicinal herb and functional food, Goji (Lycium barbarum L.) berries have been consumed for more than 4500 years in China and have received extensive international attention. However, stakeholders have adopted traditional manag... read more

Prediction of Benign and Malignant Small Renal Masses Using CT-Derived Extracellular Volume Fraction: An Interpretable Machine Learning Model.

Academic radiology Aug 9, 2025

RATIONALE AND OBJECTIVES: We developed a machine learning model comprising morphological characteristics, enhancement dynamics, and extracellular volume (ECV) fractions for distinguishing malignant and benign small renal masses (SRMs), supporting per... read more

Artificial Intelligence Medical Compendium