Latest AI and machine learning research in prescriptions for healthcare professionals.
The notion of synthetic molecular communication (MC) refers to the transmission of information via molecules and is largely foreseen for use within the human body, where traditional electromagnetic wave (EM)-based communication is impractical. MC is anticipated to enable innovative medical applications, such as early-stage tumor detection, targeted drug delivery, and holistic approaches like the...
Drug-target interaction (DTI) prediction is crucial for drug development and repositioning. Methods using heterogeneous graph neural networks (HGNNs) for DTI prediction have become a promising approach, with attention-based models often achieving excellent performance. However, these methods typically overlook edge features when dealing with heterogeneous biomedical networks. We propose a hetero...
Due to the increasing use of virtual avatars, the animation of head-hand interactions has recently gained attention. To this end, we present a novel...
Accelerating molecular docking -- the process of predicting how molecules bind to protein targets -- could boost small-molecule drug discovery and r...
Regular languages -- the languages accepted by deterministic finite automata -- are known to be precisely the languages recognized by finite monoids...
Delivering deeply personalized recommendations necessitates understanding user interactions with diverse multimedia features, but achieving this wit...
In this work we propose a novel joint training method for Visual Place Recognition (VPR), which simultaneously learns a global descriptor and a pair...
When designing an AI-assisted decision-making system, there is often a tradeoff between precision and recall in the AI's recommendations. We argue t...
This machine learning study investigates a lowcost edge device integrated with an embedded system having computer vision and resulting in an improve...
Epilepsy represents the most prevalent neurological disease in the world. One-third of people suffering from mesial temporal lobe epilepsy (MTLE) ex...
Medical image analysis tasks often focus on regions or structures located in a particular location within the patient's body. Often large parts of t...
Drug-releasing implants are gaining momentum in the treatment of glaucoma. Implants present however several limitations. Among these limitations, th...
Protein-ligand binding is the process by which a small molecule (drug or inhibitor) attaches to a target protein. The binding affinity, which refers...
This study examines the clinical decision-making processes in Traditional East Asian Medicine (TEAM) by reinterpreting pattern identification (PI) t...
Medication Extraction and Mining play an important role in healthcare NLP research due to its practical applications in hospital settings, such as t...
Accurately recognizing a revisited place is crucial for embodied agents to localize and navigate. This requires visual representations to be distinc...
Most recommender systems adopt collaborative filtering (CF) and provide recommendations based on past collective interactions. Therefore, the perfor...
Optimizing human-AI interaction requires users to reflect on their own performance critically. Our paper examines whether people using AI to complet...
Most recommender systems research focuses on binary historical user-item interaction encodings to predict future interactions. User features, item f...
Phages, the natural predators of bacteria, were discovered more than 100Â years ago. However, increasing antimicrobial resistance rates have revitalize...