Artificial Intelligence Medical Compendium

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

Showing 2,701 to 2,710 of 202,598 articles

Sensorimotor encoding of epistemic value during goal-directed causal learning

bioRxiv
Understanding the neural and computational mechanisms underlying goal-directed causal learning is a central challenge in both cognitive neuroscience and artificial intelligence. This cognitive function depends on balancing reward maximization with in... read more 

Evolution and mechanism of MEIS2-mediated forelimb specialization in bats

bioRxiv
The genomic basis of limb adaptations in tetrapods is thought to be largely driven by changes in gene regulation. However, the mechanisms by which regulatory programs evolve are not well understood. In bats, wing membrane development has been shown t... read more 

Modelling antibody structures at the speed of language

bioRxiv
Protein structure prediction is currently substantially slower than obtaining sequence representations of proteins. This leads to most property prediction methods relying solely on trivial or learned sequence embeddings. However, contemporary structu... read more 

An interpretable machine learning framework for dog breed inference and ancestry decomposition

bioRxiv
The over 300 currently recognized breeds of domesticated dogs are the culmination of centuries of intense artificial selection and recurrent population bottlenecks. While breed labels are widely used in genetic and veterinary studies, inferring breed... read more 

Distinct associations between multimodal brain measures and psychopathology domains predict adolescent functioning

bioRxiv
Adolescent psychopathology is partly rooted in measurable disruptions across key neural networks, yet the field still lacks an integrated, multimodal understanding of these brain-behavior links. Here, we examined how structural, microstructural, and ... read more 

Vibe Coding Specificity Foundation Models

bioRxiv
Molecular recognition - the determination of which agent binds which target - governs adaptive immunity, gene regulation, signal transduction, RNA silencing, enzyme catalysis, and the selectivity of therapeutics. Determining binding specificity remai... read more 

Reproducibility of electroencephalography alpha band biomarkers for diagnosis of major depressive disorder

medRxiv
Major depressive disorder (MDD) and other psychiatric diseases can greatly benefit from objective decision support in diagnosis and therapy. Machine learning approaches based on biomarkers extracted from electroencephalography (EEG) have the potentia... read more 

Understanding Human AI Discrepancy in Breast Cancer TIL Assessment: A Multi-Rater and Perceptual Bias Study

medRxiv
Objective: Tumor-infiltrating lymphocytes (TILs) in breast cancer are one of the most important indicators of the immune response within the tumor microenvironment. They play a particularly significant prognostic and predictive role in triple-negativ... read more 

Neuroanatomical dimensions in recent-onset depression: clinical profiles, inflammatory markers, and proteomic ageing

medRxiv
Background: Major depressive disorder (MDD) is clinically heterogeneous, hindering identification of reproducible biomarkers. Using a semi-supervised machine learning approach, HYDRA, we previously identified two neuroanatomical dimensions from struc... read more 

Prototyping a Generative AI-powered Person-centered Digital Health Tool to Mitigate Risk of Preventable Adverse Drug Events

medRxiv
Objectives: Older adults with comorbidities and polypharmacy have disproportionately high risk of hospitalization as well as readmission from adverse drug events (ADEs), of which 28%-71% are preventable (pADEs). This paper introduces an LLM applicati... read more