Artificial Intelligence Medical Compendium

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

Showing 18,141 to 18,150 of 214,278 articles

Diffusion-based stimulus optimization reveals functional organization across higher visual cortex

bioRxiv May 15, 2026
Characterizing the fine-grained functional organization of human higher visual cortex remains a central challenge, as traditional neuroimaging experiments constrain the diversity of stimuli that can be sampled. In prior work we addressed this challen... read more 
neuroscience

Benchmarking long-context genome language models on biosynthetic gene clusters

bioRxiv May 15, 2026
Recent advances in language models for natural language processing have spread to the field of genomics, driving the development of genome language models (gLMs) to decipher genomic information. Cutting-edge long-context gLMs are promising approaches... read more 
bioinformatics

Autobehaver: An AI-Based Pipeline for Animal Behavior Analysis

bioRxiv May 15, 2026
Behavior arises from the complex interplay between the nervous system, genetics, and the environment. High-resolution, high-throughput behavioral quantification is essential for dissecting biological function and the effects of genetic perturbation, ... read more 
animal behavior and cognition

Physics-Informed Neural Networks for Parameter Recovery in the Repressilator Oscillatory Model

bioRxiv May 15, 2026
Parameter estimation in nonlinear biological dynamical systems is a difficult inverse problem because the governing equations are often stiff or oscillatory, the data are sparse and noisy, and the objective landscape is non-convex. Physics-informed n... read more 
bioinformatics

Comparison of Machine Learning Surrogate Models for Prediction of Single-Fiber Activation in Deep Brain Stimulation

bioRxiv May 15, 2026
Machine-learning surrogate models are positioned to help optimize deep brain stimulation (DBS) usage by predicting neural activation in response to electrical stimulation, while minimizing tradeoffs between computational expense and accuracy. Previou... read more 
neuroscience

Bio-BLIP: A Multimodal Architecture for Transferable Reasoning in Genomic Variant Interpretation

bioRxiv May 15, 2026
Developing scientific hypotheses in biology requires integrating heterogeneous evidence across DNA sequence, gene context, protein function, and prior literature. Existing multimodal AI systems expose biological evidence to reasoning models through t... read more 
genomics

Human-like sequential sound-to-meaning transfer drives artificial speech comprehension

bioRxiv May 15, 2026
Artificial intelligence has reached a pivotal threshold. Multimodal large models can approach human-level speech comprehension by rapidly transforming sound into meaning. However, whether this process relies on human-like mechanisms remains unknown. ... read more 
neuroscience

Deep learning models for chemical perturbation prediction do not yet utilise drug molecular features

bioRxiv May 15, 2026
Recent deep learning models for L1000 chemical perturbation prediction incorporate dedicated drug molecular encoders. We retrained seven such models from scratch with zeroed or shuffled drug inputs, and compared them with a multilayer perceptron that... read more 
bioinformatics

S2F-agent: Skill-grounded agent for Sequence-to-Function computational genomics workflows

bioRxiv May 15, 2026
Sequence-to-Function (S2F) foundation models are revolutionizing genomic research, yet their fragmented ecosystem severely bottlenecks practical application by incompatible inputs, outputs, and runtime environments. General-purpose coding agents lack... read more 
bioinformatics

Tsallis-Gated Autoencoder: A Nonextensive Physics-Informed Approach for Unsupervised Anomaly Detection in Glioblastoma Multiforme RNA-seq Data

bioRxiv May 15, 2026
Glioblastoma multiforme (GBM) is characterised by profound genomic heterogeneity and heavy-tailed gene-expression distributions that challenge conventional machine-learning methods. We introduce the Tsallis-Gated Autoencoder (Tsallis-GAE), a physics-... read more 
bioinformatics
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