Prescriptions

Predicting the risk of ischemic stroke in patients with atrial fibrillation using heterogeneous drug-protein-disease network-based deep learning.

Current risk assessment models for predicting ischemic stroke (IS) in patients with atrial fibrillat...

GCN-BBB: Deep Learning Blood-Brain Barrier (BBB) Permeability PharmacoAnalytics with Graph Convolutional Neural (GCN) Network.

The Blood-Brain Barrier (BBB) is a selective barrier between the Central Nervous System (CNS) and th...

5-Repurposed Drug Candidates Identified in Motor Neurons and Muscle Tissues with Amyotrophic Lateral Sclerosis by Network Biology and Machine Learning Based on Gene Expression.

Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disorder that leads to motor ...

Unlocking the Potential of Weakly Labeled Data: A Co-Evolutionary Learning Framework for Abnormality Detection and Report Generation.

Anatomical abnormality detection and report generation of chest X-ray (CXR) are two essential tasks ...

Contemporary digital marketing techniques used in unhealthy food campaigns targeting young people.

The digital marketing of unhealthy foods and non-alcoholic beverages has a detrimental impact on chi...

Niuhuang jiedu prescription alleviates realgar-induced dopaminergic and GABAergic neurotoxicity in Caenorhabditis elegans.

ETHNOPHARMACOLOGICAL RELEVANCE: Niuhuang Jiedu (NHJD) is a Chinese medicine prescription containing ...

Reply to "Chat GPT and the Challenges to Detect Potential Drug-Drug Interactions Related to QT Prolongation".

Updates in Neonatal Seizures.

Neonatal seizures are a common medical emergency, necessitating prompt treatment. The most common et...

Machine Learning-Enhanced Prediction for Soil-to-Air VOC Emission and Environmental Impact Pertaining Contaminated Fractured Aquifers.

How to scientifically and efficiently quantify the impact and hazards of volatile organic compounds ...

A robust and omnidirectional-sensitive electronic antenna for tactile-induced perception.

Skin-like planar tactile sensors have achieved adaptive gripping, in-hand manipulation, and human-ma...

Chat GPT and the Challenges to Detect Potential Drug-Drug Interactions Related to QT Prolongation.

[Research progress of effect mechanism of acupotomy for knee osteoarthritis].

Acupotomy therapy demonstrates the definite clinical efficacy on knee osteoarthritis (KOA). After re...

Drug-Target Affinity Prediction Based on Topological Enhanced Graph Neural Networks.

Graph neural networks (GNNs) have achieved remarkable success in drug-target affinity (DTA) analysis...

Anticancer drug response prediction integrating multi-omics pathway-based difference features and multiple deep learning techniques.

Individualized prediction of cancer drug sensitivity is of vital importance in precision medicine. W...

Predicting protein-protein interaction with interpretable bilinear attention network.

BACKGROUND AND OBJECTIVE: Protein-protein interactions (PPIs) play the key roles in myriad biologica...

Unveiling drug-induced osteotoxicity: A machine learning approach and webserver.

Drug-induced osteotoxicity refers to the harmful effects certain pharmaceuticals have on the skeleta...

Machine learning based intratumor heterogeneity related signature for prognosis and drug sensitivity in breast cancer.

Intratumor heterogeneity (ITH) is involved in tumor evolution and drug resistance. Drug sensitivity ...

Exploring new drug treatment targets for immune related bone diseases using a multi omics joint analysis strategy.

In the field of treatment and prevention of immune-related bone diseases, significant challenges per...

Stability of Jurkat cells during short-term liquid storage analyzed by flow imaging microscopy.

The viability of cell-based medicinal products (CBMPs) is a critical quality attribute and must be a...

SGCLMD: Signed graph-based contrastive learning model for predicting somatic mutation-drug association.

Somatic mutations could influence critical cellular processes, leading to uncontrolled cell growth a...

Knowledge-Based Artificial Intelligence System for Drug Prioritization.

drug prioritization may be a promising and time-saving strategy to identify potential drugs, standi...