Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 35,741 to 35,750 of 223,137 articles

Benchmarking pKa Prediction Algorithms against an Extensive, Public Data Set.

Journal of chemical information and modeling Apr 5, 2026
Accurate prediction of proton dissociation constants (pKa) is essential for downstream drug discovery and molecular modeling workflows. While several proprietary pKa prediction tools have been established as popular choices in the field, open-source ... read more 

Upcycling Industrial Wastewater to Three-Dimensional Porous Cu4(OH)6FCl Nanosheets as Anode for High-Performance Lithium-Ion Batteries.

Nano letters Apr 5, 2026
With the vigorous development of artificial intelligence and the semiconductor industry, the treatment of a mass of copper- and fluorine-containing industrial wastewater poses a challenge to the sustainable development of human society and the enviro... read more 

Human Allele Frequency Distributions Contradict Current Narratives of Imminent Danger From Genetically Targeted Bioweapons.

Health security Apr 5, 2026
Warnings of pathogens manufactured to target a specific ethnic group, so-called genetic bioweapons, have recently received considerable media attention. Genetic bioweapons figure prominently in reports on potential future risks emerging from combinin... read more 

YOLO-Drop: A Deep Learning Model Enabling Accurate, High-Throughput Image Analysis for Droplet Digital Immunoassay at Attomolar Concentrations.

Analytical chemistry Apr 5, 2026
Ultrasensitive detection of low-abundance protein biomarkers is essential for early disease diagnosis and therapeutic monitoring. While droplet digital enzyme-linked immunosorbent assay (ddELISA) addresses this need by enabling attomolar sensitivity,... read more 

Development and Validation of a Machine Learning-Based Model to Predict Peri-Implant Mucositis in Patients With Dental Implant Placement After 1-Year.

Clinical oral implants research Apr 5, 2026
OBJECTIVES: To develop and validate an interpretable machine learning (ML) model for early prediction of peri-implant mucositis (PIM). MATERIAL AND METHODS: This retrospective study enrolled patients receiving dental implants between October 2011 to ... read more 

Reduced spread of nodes in spatial network models improves topology associated with increased computational capabilities

bioRxiv Apr 5, 2026
Biological neural networks are characterized by short average path lengths, high clustering, and modular and hierarchical architectures. These complex network topologies strike a balance between local specialization and global synchronization via lon... read more 
neuroscience

CellBench-LS: Benchmark Evaluation of Single-cell Foundation Models for Low-supervision Scenarios

bioRxiv Apr 5, 2026
While single-cell foundation models (SCFMs) have shown promise across various downstream tasks, their generalization performance in label-scarce settings remains a critical bottleneck. The absence of systematic benchmarks for these low-resource scena... read more 
cell biology

Interpretable Deep Learning-Based Multi-Omics Integrationfor Prognosis in Hepatocellular Carcinoma

bioRxiv Apr 5, 2026
Hepatocellular carcinoma (HCC) is a leading cause of cancer mortality worldwide, yet existing prognostic models incompletely capture its molecular heterogeneity. We developed an interpretable, attention-based multi-branch deep learning framework for ... read more 
bioinformatics

OpenAc4C: A gateway to decode the landscape, regulation and pathogenesis of N4-acetylcytidine (ac4C) epitranscriptome

bioRxiv Apr 5, 2026
N4-acetylcytidine (ac4C) is an ancient and highly conserved chemical marker found in all domains of life. Recent advancements in sequencing techniques have enabled the functional analysis of ac4C occurrence by accurately capturing its locations and l... read more 
bioinformatics

Tokenizing loops of antibodies.

mAbs Apr 5, 2026
The complementarity-determining regions (CDRs) of antibodies are loop structures that are key to their interactions with antigens and are of high importance to the design of novel biologics. Existing approaches for characterizing the diversity of CDR... read more 
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