AIMC Journal:
bioRxiv
Showing 971 to 980 of 4938 articles
Agentic AI for Structural Elucidation and Discovery of Drug Metabolites from Mass Spectrometry Data
bioRxiv
Jun 26, 2026
The majority of chemical signals detected in public metabolomics repositories remain structurally undefined. Large language models (LLMs) are probabilistic systems whose capacity to generate outputs beyond their training data, which can cause halluci...
The Gompertz curve for estimating growth rates of Protein Data Bank and protein folds
bioRxiv
Jun 26, 2026
The Protein Data Bank (PDB) is an ever-growing, open-access repository of structural data of biological molecules. This international database has been instrumental in the development of artificial intelligence and deep learning models for protein st...
SPEAK: Spatial Prompting with Expert Aligned Knowledge for Tissue Domain Identification in Spatial Transcriptomics
bioRxiv
Jun 26, 2026
Spatially resolved transcriptomic (SRT) data requires spatial domain identification to enable tissue microenvironment-specific downstream analyses. Here we present SPEAK (Spatial Prompting with Expert-Aligned Knowledge), a large language model (LLM) ...
EpiESM-GA: Resource-Efficient Protein Foundation Model Features for Equitable B-Cell Epitope Prediction
bioRxiv
Jun 26, 2026
Prediction of B-cell epitopes can assist in reducing costly wet-lab screening in vaccine design, diagnostics, and antibody discovery. However, current predictors often suffer from noisy labels, weak generalization, and structure-dependent workflows. ...
Evaluating sequence-to-function deep learning models for ancestry-stratified regulatory variant effect prediction using multi-ancestry blood eQTLs
bioRxiv
Jun 26, 2026
Background: Sequence-to-function (S2F) deep learning models are increasingly used to prioritize non-coding regulatory variants, but their behavior across ancestrally diverse populations remains unclear. Because both training data and reference resour...
HALPred-B: Host-Aware Linear B-Cell Epitope Prediction: Challenges, Limitations, and Variability Across Species
bioRxiv
Jun 26, 2026
Predicting linear B-cell epitopes is a basic immunoinformatics task that has a direct impact on vaccine design and antibody engineering. Recent advances in machine learning have improved predictive performance, but most existing approaches are traine...
Long-term memory performance optimization via Neural network-based curve fitting in Drosophila
bioRxiv
Jun 25, 2026
Long-term memory (LTM) formation typically requires extensive training. While operant conditioning is expected to produce stronger LTM than classical conditioning due to active learning, laser-based social conditioning in Drosophila yielded an unexpe...
BGC-QDR: A Quantum-Assisted Pipeline for Biosynthetic Gene Cluster Discovery and Ranking from Environmental DNA
bioRxiv
Jun 25, 2026
Biosynthetic gene clusters (BGCs) encode enzymatic pathways for natural products with pharmaceutical potential, yet prioritizing candidates from fragmented environmental DNA (eDNA) assemblies remains computationally challenging. We present BGC-QDR (B...
NanoCellAnnotator: Formalizing Expert Cell Type Annotation with Large Language Models
bioRxiv
Jun 25, 2026
Motivation: Cell-type annotation in spatial transcriptomics is challenging due to sparse gene panels, spatial heterogeneity, and limited availability of tissue-matched reference atlases. Recent approaches have explored large language models (LLMs) fo...
A Visually Interpretable Histopathology-Based Immune Model Predicts T-effector Biology and Response to Immune checkpoint inhibition in Clear Cell Renal Cell Carcinoma Clinical Trial and Contemporary Real-World Datasets
bioRxiv
Jun 25, 2026
Immune checkpoint inhibitors (ICI) are central to the treatment of metastatic clear cell renal cell carcinoma (ccRCC), yet only a subset of patients derive durable benefit, and clinically deployable predictive biomarkers remain an unmet need. RNA-bas...
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 32655
- Neural Networks, Computer 30545
- Algorithms 27797
- Deep Learning 27357
- Artificial Intelligence 25287
- Robotics 13443
- Image Processing, Computer-Assisted 9910
- Retrospective Studies 9561
- Magnetic Resonance Imaging 6493
- Reproducibility of Results 5753
- Tomography, X-Ray Computed 4970
- Support Vector Machine 4827
- Computational Biology 4407
- Brain 4196
- Computer Simulation 3970
Popular Journals
- ArXiv 42909
- Scientific reports 10182
- PloS one 5321
- bioRxiv 4935
- Sensors (Basel, Switzerland) 4795
- medRxiv 4073
- Neural networks : the official journal of the International Neural Network Society 3739
- Computers in biology and medicine 2047
- Computational intelligence and neuroscience 1932
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1569
- Nature communications 1405
- Journal of chemical information and modeling 1364
- IEEE journal of biomedical and health informatics 1345
- Journal of medical Internet research 1270