Latest AI and machine learning research in prescriptions for healthcare professionals.
With the widespread use of mobile devices and the rapid growth of micro-video platforms such as TikTok and Kwai, the demand for personalized micro-video recommendation systems has significantly increased. Micro-videos typically contain diverse information, such as textual metadata, visual cues (e.g., cover images), and dynamic video content, significantly affecting user interaction and engagemen...
Artificial Intelligence (AI) has revolutionized food marketing by providing advanced techniques for personalized recommendations, consumer behavior prediction, and campaign optimization. This paper explores the shift from traditional advertising methods, such as TV, radio, and print, to AI-driven strategies. Traditional approaches were successful in building brand awareness but lacked the level ...
In the realm of drug discovery, DNA-encoded library (DEL) screening technology has emerged as an efficient method for identifying high-affinity comp...
The integration of Large Language Models (LLMs) into the drug discovery and development field marks a significant paradigm shift, offering novel met...
Purpose To develop a machine learning approach for classifying disease progression in chest radiographs using weak labels automatically derived from r...
Black-box context-free grammar inference presents a significant challenge in many practical settings due to limited access to example programs. The ...
The transformer architecture has revolutionized bioinformatics and driven progress in the understanding and prediction of the properties of biomolec...
Drug discovery and development is a highly complex and costly endeavor, typically requiring over a decade and substantial financial investment to br...
Advancements in large language models (LLMs) allow them to address diverse questions using human-like interfaces. Still, limitations in their traini...
Navigating multi-level menus with complex hierarchies remains a big challenge for blind and low-vision users, who predominantly use screen readers t...
In many healthcare facilities, the prescription of drugs is done only in a semi-structured manner, using free-text fields where various information is...
Causal Deep/Machine Learning (CDL/CML) is an emerging Artificial Intelligence (AI) paradigm. The combination of causal inference and AI could mine exp...
Clinical notes contain valuable information for research and monitoring quality of care. Named Entity Recognition (NER) is the process for identifying...
Artificial Intelligence (AI), particularly Machine Learning (ML), has gained attention for its potential in various domains. However, approaches integ...
The advent of artificial intelligence has positively transformed many areas of our lives, including the medical field. In this article, we propose the...
The biological targets of traditional Chinese medicine (TCM) are the core effectors mediating the interaction between TCM and the human body. Identi...
Artificial intelligence (AI) is increasingly used in every stage of drug development. One challenge facing drug discovery AI is that drug pharmacoki...
To address the challenging problem of detecting phishing webpages, researchers have developed numerous solutions, in particular those based on machi...
In the era of Large Language Models (LLMs), given their remarkable text understanding and generation abilities, there is an unprecedented opportunit...
In today's music industry, album cover design is as crucial as the music itself, reflecting the artist's vision and brand. However, many AI-driven a...