Latest AI and machine learning research in prescriptions for healthcare professionals.
As the number and sophistication of cyber attacks have increased, threat hunting has become a critical aspect of active security, enabling proactive detection and mitigation of threats before they cause significant harm. Open-source cyber threat intelligence (OS-CTI) is a valuable resource for threat hunters, however, it often comes in unstructured formats that require further manual analysis. P...
Gene expression profiling of new or modified cell lines becomes routine today; however, obtaining comprehensive molecular characterization and cellular responses for a variety of cell lines, including those derived from underrepresented groups, is not trivial when resources are minimal. Using gene expression to predict other measurements has been actively explored; however, systematic investigatio...
Bringing a novel drug from the original idea to market typically requires more than ten years and billions of dollars. To alleviate the heavy burden...
Artificial intelligence (AI) is a broad concept that includes the study of the ability of computers to perform tasks that would normally require the i...
Artificial intelligence is a broad concept that includes the study of the ability of computers to perform tasks that would normally require the interv...
Post-induction hypotension (PIH) occurs shortly after anesthesia induction and is related to several post-operative complications. Medications deliver...
Sensor-based remote healthcare monitoring is a promising approach for timely detection of adverse health events such as falls or infections in people ...
This work studied the effect of arm kinematics on human arm stiffness modulation during overground physical human-robot interaction (pHRI). Previously...
Studying the soft robot-tissue mechanical interaction in muscle stimulation devices poses a significant challenge due to the complex behavior of the m...
Drug-target interaction (DTI) prediction speeds up drug repurposing, accelerates drug screening, and reduces drug design timeframe. Previous DTI predi...
PhisNet is a cutting-edge web application designed to detect phishing websites using advanced machine learning. It aims to help individuals and orga...
Cross-lingual Cross-modal Retrieval (CCR) is an essential task in web search, which aims to break the barriers between modality and language simulta...
OBJECTIVES: Linking information on Japanese pharmaceutical products to global knowledge bases (KBs) would enhance international collaborative research...
OBJECTIVE: Predicting mortality after acute myocardial infarction (AMI) is crucial for timely prescription and treatment of AMI patients, but there ar...
Mobile genetic elements (MGEs) are as ubiquitous in nature as they are varied in type, ranging from viral insertions to transposons to incorporated ...
In the realm of personalized recommender systems, the challenge of adapting to evolving user preferences and the continuous influx of new users and ...
Political leaning can be defined as the inclination of an individual towards certain political orientations that align with their personal beliefs. ...
Collective estimation is a variant of collective decision-making, where agents need to achieve consensus on a continuous quantity in a self-organize...
Advanced persistent threats (APTs) pose significant challenges for organizations, leading to data breaches, financial losses, and reputational damag...
In the Vision-and-Language Navigation in Continuous Environments (VLN-CE) task, the human user guides an autonomous agent to reach a target goal via...