FDA General

A five-terminal ITO transistor enabling memory, artificial synaptic behaviors, and logic operations.

The increasing complexity of fabrication and high transistor density is slowing down progress in int...

Deep learning-based image classification and quantification models for tablet sticking.

Sticking can significantly affect drug product quality, manufacturing efficiency, and therapeutic ef...

Development of an AI model for DILI-level prediction using liver organoid brightfield images.

AI image processing techniques hold promise for clinical applications by enabling analysis of comple...

Revolution of AAV in Drug Discovery: From Delivery System to Clinical Application.

Adeno-associated virus (AAV) is a non-enveloped DNA virus infecting a wide variety of species, tissu...

Tighter regulation is needed for AI companions.

Ripen banana dataset: A comprehensive resource for carbide detection and ripening stage analysis to enhance food quality and agricultural efficiency.

We introduce the "Ripen Banana" dataset, a newly developed collection featuring two distinct classes...

Attention Regulation Among Sleep-Deprived Air-Force Pilots.

Short sleep duration is associated with adverse physical and mental events. However, it is quite cha...

Scientific hypothesis generation by large language models: laboratory validation in breast cancer treatment.

Large language models (LLMs) have transformed artificial intelligence (AI) and achieved breakthrough...

DRBP-EDP: classification of DNA-binding proteins and RNA-binding proteins using ESM-2 and dual-path neural network.

Regulation of DNA or RNA at the transcriptional, post-transcriptional, and translational levels are ...

A deployment safety case for AI-assisted prostate cancer diagnosis.

Deep learning (DL) has the potential to deliver significant clinical benefits. In recent years, an i...

Integrating bulk RNA-seq and scRNA-seq analyses with machine learning to predict platinum response and prognosis in ovarian cancer.

Platinum-based therapy is an integral part of the standard treatment for ovarian cancer. However, de...

Regulation of artificial intelligence in Uganda's healthcare: exploring an appropriate regulatory approach and framework to deliver universal health coverage.

BACKGROUND: Uganda, like other United Nations (UN) member states, has undertaken to achieve Universa...

Temporally discordant chromatin accessibility and DNA demethylation define short- and long-term enhancer regulation during cell fate specification.

Chromatin and DNA modifications mediate the transcriptional activity of lineage-specifying enhancers...

Regulation of Health and Health Care Artificial Intelligence.

Integrating machine learning and multi-omics analysis to unveil key programmed cell death patterns and immunotherapy targets in kidney renal clear cell carcinoma.

Kidney renal clear cell carcinoma (KIRC), a cancer characterized by substantial immune infiltration,...

Unlocking the potential of essential oils in aromatic plants: a guide to recovery, modern innovations, regulation and AI integration.

Essential oils recovered from aromatic plants hold tremendous potential across diverse fields, which...

[Acupuncture effects and neuro-immune regulation: a breakthrough in "treating diseases at the root"].

The holistic philosophy of traditional Chinese medicine (TCM) embodied in acupuncture therapy has ga...

Patient Reactions to Artificial Intelligence-Clinician Discrepancies: Web-Based Randomized Experiment.

BACKGROUND: As the US Food and Drug Administration (FDA)-approved use of artificial intelligence (AI...

GNNs and ensemble models enhance the prediction of new sRNA-mRNA interactions in unseen conditions.

Bacterial small RNAs (sRNAs) are pivotal in post-transcriptional regulation, affecting functions lik...

Dumpling GNN: Hybrid GNN Enables Better ADC Payload Activity Prediction Based on the Chemical Structure.

Antibody-drug conjugates (ADCs) are promising cancer therapeutics, but optimizing their cytotoxic pa...

BoostDILI: Extreme Gradient Boost-Powered Drug-Induced Liver Injury Prediction and Structural Alerts Generation.

Over the past 60 years, drug-induced liver injury (DILI) has played a key role in the withdrawal of ...