Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
A 37- year-old man with human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS) w...
The aim of this study was to verify the measurement concordance of cardiac index (CI), extra-vascula...
In this paper we present a hybrid control scheme, combining the advantages of task-space and joint-s...
Chronic Kidney Disease (CKD) anemia is one of the main common comorbidities in patients undergoing E...
Recent study shows that tendon-sheath system (TSS) has great potential in the development of surgica...
The goal of this paper is to perform end-point impedance measurements across dominant and nondominan...
Cell-type extraction is an important task in biomedical text mining because biomedical literature co...
Protein structure prediction via AlphaFold2 has revolutionized drug discovery, yet its end-to-end ex...
Neuroimaging based pain decoding faces two underappreciated challenges: between subject variability ...
The problem of object pose and shape estimation has seen key advancements lately. Encoder-decoder (e...
While the expansion of spatial omics has revolutionized our ability to dissect tissue architecture, ...
Objective: Survival analysis is central to medical prediction, yet large language models (LLMs) are ...
Real-world image restoration is challenging due to complex and interacting mixed degradations. Recen...
While large language models provide strong compositional reasoning, existing reasoning segmentation ...
Membrane transport is a fundamental biological process with profound implications for pharmacology, ...
Translating transcriptomic data into therapeutic hypotheses remains fragmented and labor-intensive. ...
Three-dimensional (3D) whole-organ imaging and analysis at cellular resolution (termed 3D histology)...
RGB-to-hyperspectral image reconstruction is a highly ill-posed inverse problem, since multiple plau...
Translational medicine turns underspecified development goals into evidence synthesis that must comb...
Domain generalization requires identifying stable representations that support reliable classificati...
Power-of-two (PoT) quantization significantly reduces the size of deep neural networks (DNNs) and re...