Artificial Intelligence Medical Compendium

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

Showing 23,401 to 23,410 of 217,176 articles

HighFold-MeD2: An Enhanced Boltz-2 Model for Accurate Structure Prediction of N-Methylated and d-Amino Acid Cyclic Peptides.

Journal of chemical information and modeling May 3, 2026
Cyclic peptides containing backbone N-methylated amino acids (BNMeAAs) and d-amino acids (d-AAs) exhibit exceptional metabolic stability, membrane permeability, and oral bioavailability, representing a pivotal middle space scaffold between biologics ... read more 

Exploring the Potential of the PerioAI System to Support Periodontal Clinical Decision Making: A Proof-of-Principle Study.

Journal of clinical periodontology May 3, 2026
AIM: To explore the potential of PerioAI, an artificial intelligence system integrating intraoral scanning and cone-beam CT, to automatically measure gingival margin-to-bone distance (GBD) and convert it into AI-derived probing depth (AI-PD), and to ... read more 

An unsupervised framework for comparing SARS-CoV-2 protein sequences using LLMs

bioRxiv May 3, 2026
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic led to 700 million infections and 7 million deaths worldwide. While studying these viruses, scientists developed a large amount of sequencing data that was made available to re... read more 
bioinformatics

Predicting first-onset depression in adolescents: Do general population models generalize to youth with ADHD?

medRxiv May 3, 2026
Background: Most studies seeking to identify youth at increased risk for depression have developed prediction models using a limited set of risk factors in general population samples. It is unclear whether these models generalize to high-risk youth. ... read more 
psychiatry and clinical psychology

Transforming Patient Voices into Early Predictors of Survival Using Nonlinear Mixed-Effect Models and AI/ML for Patient-Centered Decision-Making

medRxiv May 3, 2026
Patient-reported outcomes (PROs) capture the patient voice and have been associated with improved clinical outcomes in oncology, but their prognostic and predictive value remains underutilized due to challenges in interpreting these highly variable a... read more 
oncology

Use of Large Language Models by U.S. Adults to Support Exercise: A Survey Study

medRxiv May 3, 2026
Background: Large Language Model (LLM) chatbots are increasingly used for exercise and fitness topics, yet users' experience with these tools remains understudied. Methods: This study is a national survey of U.S. adults who have used an LLM chatbot f... read more 
public and global health

Molecular insights into protein disulfide isomerase antagonism by punicalagin

bioRxiv May 3, 2026
Punicalagin, an ellagic acid polyphenol from pomegranate, has been proposed as an antagonist of protein disulfide isomerase (PDI) and endoplasmic reticulum resident protein 57 (ERp57), thiol oxidoreductases that regulate protein folding and extracell... read more 
biochemistry

Agentic systems are adept at solving well-scoped, verifiable problems in computational biology

bioRxiv May 3, 2026
We introduce CompBioBench, a benchmark of 100 diverse tasks for evaluating agentic systems in computational biology. Unlike mathematics and programming, which more readily admit systematic verification, biological data are inherently noisy and open t... read more 
bioinformatics

Knowledge Inclusive Machine Learning for Disease Gene Prioritisation

bioRxiv May 2, 2026
The predictive performance of machine learning models depends on the context available to them. In disease gene prioritisation, this context comprises two forms: specific context from sample-level experimental data, such as gene expression and protei... read more 
genetics

NeuroCDS: Integrating Local and Global Neural Network Representations via Structural Constrained Viterbi Decoding for Robust CDS Annotation

bioRxiv May 2, 2026
Motivation: Robust annotation of Coding Sequences (CDS) is critical for downstream transcriptomics, yet heavily fragmented de novo RNA-Seq assemblies pose a severe challenge. Traditional computational tools rely on fixed, hand-crafted features that a... read more 
bioinformatics
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