Latest AI and machine learning research in prescriptions for healthcare professionals.
The emergence of single-cell Hi-C (scHi-C) technology has provided unprecedented opportunities for i...
Thermoelectric (TE) hydrogels, mimicking human skin, possessing temperature and strain sensing capab...
The development of new methods of identification of active pharmaceutical ingredients (API) is a sub...
Human activities continuously impact water balances and cycling in watersheds, making it essential t...
With radiology shortages affecting over half of the global population, the potential of artificial i...
The intelligent harvesting technology for jujube leaf branches presents a novel avenue for enhancing...
Cancer treatment has become one of the biggest challenges in the world today. Different treatments a...
Research on drug-drug interaction (DDI) prediction, particularly in identifying DDI event types, is ...
For successful human-robot collaboration, it is crucial to establish and sustain quality interaction...
Sequential recommendation typically utilizes deep neural networks to mine rich information in intera...
Computational molecular generation methods that generate chemical structures from gene expression pr...
Anticancer peptides (ACPs) perform a promising role in discovering anti-cancer drugs. The growing re...
Cryptosporidium and Giardia are important parasitic protozoa due to their zoonotic potential and imp...
This article explores Human-Centered Artificial Intelligence (HCAI) in medical cytology, with a focu...
We propose HydraScreen, a deep-learning framework for safe and robust accelerated drug discovery. Hy...
Accurate prediction of Drug-Target Interactions (DTI) is crucial for drug development. Current state...
When using High-field asymmetric ion mobility spectrometry (FAIMS) to process complex mixtures for d...
The Qingfei Paidu decoction (QFPDD) is a widely acclaimed therapeutic formula employed nationwide fo...
Drugs often target specific metabolic pathways to produce a therapeutic effect. However, these pathw...
Drug-discovery and drug-development endeavors are laborious, costly and time consuming. These progra...
Inhibiting MDM2-p53 interaction is considered an efficient mode of cancer treatment. In our current ...