AI Medical Compendium

Evolvable AI: Threats of a new major transition in evolution.

Proceedings of the National Academy of Sciences of the United States of America Apr 20, 2026

Evolvable AI (eAI), i.e., AI systems whose components, learning rules, and deployment conditions can themselves undergo Darwinian evolution, may soon emerge from current trends in generative, agentic, and embodied AI. We argue that this possibility h... read more

Simultaneous Profiling and Quantification of Tau and Its Phosphorylated Isomers Using Engineered FraC Nanopores.

Nano letters Apr 20, 2026

Tau aggregation and hyperphosphorylation are key pathological hallmarks and early diagnostic biomarkers of Alzheimer's disease (AD). However, the simultaneous profiling and quantitative analysis of Tau and its phosphorylated isoforms remain technical... read more

Hospital-at-Home: New Technology Brings Acute Care to Patients' Homes.

Journal of medical Internet research Apr 20, 2026

AI-Driven Pathology and Blood-Based Biomarkers: A Golden Opportunity to Democratize Precision Oncology.

Cancer discovery Apr 20, 2026

Advancing global health equity requires a paradigm shift in precision oncology, which currently remains inaccessible to most patients worldwide because of the high cost and long turnaround time of sequencing-based biomarkers. Recent developments in a... read more

Artificial Intelligence in Health Care: Clinical Opportunities, Validation Trends, and Implementation Challenges (2020-2025).

Journal for healthcare quality : official publication of the National Association for Healthcare Quality Apr 20, 2026

INTRODUCTION: Artificial intelligence (AI) continues to reshape health care, supported by advances in computing power, affordable data storage, and widespread electronic health record adoption. METHODS: This systematic review followed PRISMA 2020 gui... read more

Predicting Catalytic Pathways for Thiophenol Decomposition on TM-Doped MoS2: A Comparative Machine Learning Study.

Nanotechnology Apr 20, 2026

Thiophenol (TP), a high-toxicity compound prevalent in pharmaceuticals and industrial products, necessitates efficient catalytic decomposition methods. While two-dimensional MoS₂ offers a promising large surface area for catalysis, its inert basal pl... read more

ReaderAdaptNet: Modeling Reader Variability in Breast Imaging with Reader-Specific Embeddings.

Physics in medicine and biology Apr 20, 2026

Inter-reader variability remains a major challenge in breast imaging interpretation, particularly for ordinal classification tasks such as breast density and background parenchymal enhancement (BPE). These visual assessments are prone to inconsistenc... read more

Combining PC-SAFT and ML to Access Unknown API Solubilities.

Molecular pharmaceutics Apr 20, 2026

Predicting the solubility of active pharmaceutical ingredients (APIs) is essential throughout drug development. However, state-of-the-art modeling approaches require system-specific data sets for parameter estimation and are resource intensive. This ... read more

Hierarchical Coarse-to-Fine cGAN for Subtype-Specific Freezing of Gait Signal Generation.

IEEE journal of biomedical and health informatics Apr 20, 2026

Freezing of gait (FOG), a debilitating symptom of Parkinson's disease, can manifest in three sub-types: shuffling, trembling, and akinesia, with occurrence and frequency varying across patients. While deep learning (DL) models show promise in FOG det... read more

Learning Where to Look: Differentiable Slice Selection and Efficient Channel Attention for FCD-II MRI Classification.