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Large Language Models for Interpretable Mental Health Diagnosis

We propose a clinical decision support system (CDSS) for mental health diagnosis that combines the...

UAV Swarm-enabled Collaborative Post-disaster Communications in Low Altitude Economy via a Two-stage Optimization Approach

The low-altitude economy (LAE) plays an indispensable role in cargo transportation, healthcare, in...

In Silico Target Identification Highlights IL12B as a Candidate for Small Molecule Drug Development

Drug discovery’s rising costs and complexities require innovative strategies to identify viable ther...

Human whole epigenome modelling for clinical applications with Pleiades

Gene regulation in humans extends beyond the four letter genetic code. Cytosine methylation, in part...

The Fengshu Large Model for Wugu Fengdeng: An Innovation Engine for Knowledge Integration in the Soybean Field

Against the backdrop of global population growth and the continuous escalation of food demand, the a...

Integrating explainable AI with multiomics systems biology and EHR data mining for personalized drug repurposing in Alzheimer’s disease

Alzheimer’s disease (AD) is characterized by region- and patient-specific molecular heterogeneity, w...

A machine-learning-guided hydrogen-bonded organic framework for long-term, ultrasound-triggered pain therapy

Effective treatment of chronic pain remains hindered by the lack of drug delivery systems that simul...

De novo single-cell biological analysis of drug resistance in human melanoma through a novel deep learning-powered approach

Elucidating drug response mechanisms in human melanoma is crucial for improving treatment outcomes. ...

MechanoAge, a machine learning platform to identify individuals susceptible to breast cancer based on mechanical properties of single cells

Existing breast cancer risk models inadequately identify individuals at latent risk, particularly am...

Deep learning-based image quantification of epithelial cell shapes and its application to polycystic kidney disease

Cell shape is a fundamental determinant of tissue architecture and organ function. In epithelial tis...

Perceptual predictions track subjective, over objective, statistical structure

Predictive processes in cognition and the brain are usually modelled as tracking objective event pro...

DLRNA-BERTa: A transformer approach for RNA-drug binding affinity prediction

RNA-based therapies are a rapidly expanding field, offering treatments for a wide range of diseases,...

CASTER-DTA: Equivariant Graph Neural Networks for Predicting Drug-Target Affinity

Accurately determining the binding affinity of a ligand with a protein is important for drug design,...

Accelerating Drug Discovery with HyperLab: An Easy-to-Use AI-Driven Platform

HyperLab, developed by HITS, is a web-based, AI-driven drug discovery platform designed to increase ...

Integrative Chemical Genetics Platform Identifies Condensate Modulators Linked to Neurological Disorders

Aberrant biomolecular condensates are implicated in multiple incurable neurological disorders, inclu...

A blueprint for mutation-defined hallmark vulnerabilities across human cancers

Hallmark gene mutations shape cancer cell vulnerabilities and inform drug discovery1–3. A systematic...

DeviceAgent: An autonomous multimodal AI agent for flexible bioelectronics

The development of flexible bioelectronics remains a complex, multidisciplinary process that demands...

Gradual proactive regulation of body state by reinforcement learning of homeostasis

Living systems maintain physiological variables such as temperature, blood pressure, and glucose wit...

CNValidatron: Accurate And Efficient Validation of PennCNV Calls Using Computer Vision

Large rare copy number variants (CNVs) are a main source of genetic variation in the genome and are ...

Modelling transcription with explainable AI uncovers context-specific epigenetic gene regulation at promoters and gene bodies

Transcriptional regulation involves complex interactions with chromatin-associated proteins, but dis...

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