Latest AI and machine learning research in prescriptions for healthcare professionals.
Recent advances in drug discovery have demonstrated that incorporating side information (e.g., chemical properties about drugs and genomic information about diseases) often greatly improves prediction performance. However, these side features can vary widely in relevance and are often noisy and high-dimensional. We propose Bayesian Variable Selection-Guided Inductive Matrix Completion (BVSIMC), a ...
Generalized 3D hand-object pose estimation from a single RGB image remains challenging due to the large variations in object appearances and interaction patterns, especially under heavy occlusion. We propose GenHOI, a framework for generalized hand-object pose estimation with occlusion awareness. GenHOI integrates hierarchical semantic knowledge with hand priors to enhance model generalization und...
Recent advances in multimodal learning have significantly improved cancer survival risk prediction. However, the joint prognostic potential of protein...
Objective: To evaluate a ranking approach for emergency department (ED) waiting room prioritization that uses pairwise clinical comparisons aggregated...
We present KidsNanny, a two-stage multimodal content moderation architecture for child safety. Stage 1 combines a vision transformer (ViT) with an obj...
Predicting drug response in patients from preclinical data remains a major challenge in precision oncology due to the substantial biological gap betwe...
Recent advances in multimodal learning have significantly improved cancer survival risk prediction. However, the joint prognostic potential of protein...
Video Super-Resolution (VSR) aims to restore high-quality video frames from low-resolution (LR) estimates, yet most existing VSR approaches behave lik...
Molecular interactions underlie nearly all biological processes, but many representation learning models either focus on single entities or are traine...
In aging-in-place contexts, small difficulties in Activities of Daily Living (ADL) can accumulate, affecting well-being through fatigue, anxiety, redu...
Visible-Infrared Person Re-Identification (VI-ReID) is a challenging retrieval task due to the substantial modality gap between visible and infrared i...
Background Timely detection of seasonal influenza outbreaks is critical for healthcare system preparedness and public health response. Although numero...
Humans learn object orientation progressively, from recognizing which way an object faces, to mentally rotating it, to reasoning about orientations be...
Federated learning (FL) offers a privacy-preserving paradigm for collaborative medical image analysis without sharing raw data. However, the absence o...
The unrestrained proliferation of cells that are malignant in nature is cancer. In recent times, medical professionals are constantly acquiring enhanc...
Modeling and generating 3D human-object interactions from text is crucial for applications in AR, XR, and gaming. Existing approaches often rely on sc...
Breast cancer is one of the most common causes of death among women worldwide, with millions of fatalities annually. Magnetic Resonance Imaging (MRI) ...
Medication errors and adverse drug events (ADEs) pose significant risks to patient safety, often arising from difficulties in reliably identifying pha...
Adverse drug events are a significant source of preventable harm, which has led to the development of automated pill recognition systems to enhance me...
AI assistants that support humans in daily life are becoming increasingly feasible, driven by the rapid advancements in multimodal language models. A ...