Latest AI and machine learning research in prescriptions for healthcare professionals.
Coughing behavior is associated with conditions such as sleep apnea, asthma, and chronic obstructive pulmonary disorder and can severely affect quality of life in those affected. In this context, coughing quantification is often important, but routinely performed via questionnaires. This approach is dependent on patient compliance or recall, which may affect validity and be especially difficult fo...
Drug-drug interactions (DDI) refer to the compound effects that occur when patients take multiple drugs simultaneously, which may reduce the drug efficacy and even harm the patient's health. Therefore, DDI prediction is significant for drug development and safe medication. Despite the great efforts of researchers, existing methods mainly focus on predicting interactions between drug pairs, cannot ...
Traditional Chinese herbal medicine has long been recognized as an effective natural therapy. Recently, the development of recommendation systems for ...
Anoikis resistance plays a crucial role in the proliferation, metastasis, and invasion of hepatocellular carcinoma (HCC). However, the key genes invol...
This report presents our team's PCIE_Interaction solution for the Ego4D Social Interaction Challenge at CVPR 2025, addressing both Looking At Me (LA...
Recent advances in 3D human-aware generation have made significant progress. However, existing methods still struggle with generating novel Human Ob...
Identifying novel drugs that can interact with target proteins is a highly challenging, time-consuming, and costly task in drug discovery and developm...
Nanotechnology and information communication technology (ICT) are being combined to develop innovative drug delivery systems for targeted sites, such ...
Drug repositioning aims to identify potential new indications for existing drugs to reduce the time and financial costs associated with developing n...
In medical image segmentation, limited external validity remains a critical obstacle when models are deployed across unseen datasets, an issue parti...
Infrared small target detection (ISTD) is vital for long-range surveillance in military, maritime, and early warning applications. ISTD is challenge...
Drug-drug interaction (DDI) prediction is critical for treatment safety. While large language models (LLMs) show promise in pharmaceutical tasks, th...
Generative artificial intelligence is developing rapidly, impacting humans' interaction with information and digital media. It is increasingly used ...
Recent advances in audio-driven talking head generation have achieved impressive results in lip synchronization and emotional expression. However, t...
AI copilots represent a new generation of AI-powered systems designed to assist users, particularly knowledge workers and developers, in complex, co...
AI copilots, context-aware, AI-powered systems designed to assist users in tasks such as software development and content creation, are becoming int...
This work utilized machine learning (ML) algorithms to predict and validate the drug release kinetics of a short worm-like nanostructured isocyanate-...
Object orientation understanding represents a fundamental challenge in visual perception critical for applications like robotic manipulation and aug...
Traditional methods of surgical decision making heavily rely on human experience and prompt actions, which are variable. A data-driven system genera...
Hematotoxicity, drug-induced damage to the blood-forming system, is a frequent side effect of cytotoxic chemotherapy and poses a significant challen...