Genetics

Latest AI and machine learning research in genetics for healthcare professionals.

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Coupled Solvent and Protein Dynamics Confer Differences in Exon-19 Deletion Mutants of the Epidermal Growth Factor Receptor Kinase

Deletions in Exon-19 of the epidermal growth factor receptor (EGFR) play a pivotal role in the patho...

Cell-Type Prototype-Informed Neural Network for Gene Expression Estimation from Pathology Images

Estimating slide- and patch-level gene expression profiles from pathology images enables rapid and l...

Unpaired TCRα + TCRβ sequencing is sufficient for training machine learning TCR-epitope recognition predictors

T-cell recognition of infected and malignant cells is elicited by the binding of heterodimeric T-Cel...

A Long-Context Generative Foundation Model Deciphers RNA Design Principles

Programmable design of RNA sequences with defined functions remains a central challenge in biology. ...

rSDNet: Unified Robust Neural Learning against Label Noise and Adversarial Attacks

Neural networks are central to modern artificial intelligence, yet their training remains highly sen...

RNAElectra: An ELECTRA-Style RNA Foundation Model for RNA Regulatory Inference

RNA regulation governs gene expression through sequence-encoded mechanisms such as RNA structure for...

A network-based deep learning model integrating subclonal architecture for therapy response prediction in cancer

Predicting treatment response remains challenging in oncology, particularly given the growing divers...

Identification of compounds that repress DUX4 expression in facioscapulohumeral muscular dystrophy

Facioscapulohumeral muscular dystrophy (FSHD) is caused by epigenetic dysregulation of the disease l...

ChromBERT: Uncovering Chromatin State Motifs in the Human Genome Using a BERT-based Approach

Chromatin states, which are defined by specific combinations of histone post-translational modificat...

CompDiff: Hierarchical Compositional Diffusion for Fair and Zero-Shot Intersectional Medical Image Generation

Generative models are increasingly used to augment medical imaging datasets for fairer AI. Yet a key...

HistoAtlas: A Pan-Cancer Morphology Atlas Linking Histomics to Molecular Programs and Clinical Outcomes

We present HistoAtlas, a pan-cancer computational atlas that extracts 38 interpretable histomic feat...

pertTF: context-aware AI modeling for genome-scale and cross-system perturbation prediction

Predicting genetic perturbation responses at a single-cell level is central to building models for c...

Longitudinal Risk Prediction in Mammography with Privileged History Distillation

Breast cancer remains a leading cause of cancer-related mortality worldwide. Longitudinal mammograph...

Multi-Task Genetic Algorithm with Multi-Granularity Encoding for Protein-Nucleotide Binding Site Prediction

Accurate identification of protein-nucleotide binding sites is fundamental to deciphering molecular ...

From Artefact to Insight: Efficient Low-Rank Adaptation of BrushNet for Scanning Probe Microscopy Image Restoration

Scanning Probe Microscopy or SPM offers nanoscale resolution but is frequently marred by structured ...

Autonomous Agents Coordinating Distributed Discovery Through Emergent Artifact Exchange

We present ScienceClaw + Infinite, a framework for autonomous scientific investigation in which inde...

Distilling Latent Manifolds: Resolution Extrapolation by Variational Autoencoders

Variational Autoencoder (VAE) encoders play a critical role in modern generative models, yet their c...

A Closed-Form Solution for Debiasing Vision-Language Models with Utility Guarantees Across Modalities and Tasks

While Vision-Language Models (VLMs) have achieved remarkable performance across diverse downstream t...

Generative AI-based design of hybrid transcriptional activator proteins with new DNA-binding specificity

Transcriptional control arises from the specific recognition of promoter DNA by transcription factor...

Facilitating genome annotation using ANNEXA and long-read RNA sequencing

With the advent of complete genome assemblies, genome annotation has become essential for the functi...

mnDINO: Accurate and robust segmentation of micronuclei with vision transformer networks

Recent advances in cell segmentation successfully produce models that generalize across various cell...

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