LazySlide, a new computational tool designed to connect whole-slide pathology images with RNA sequencing data through foundation models, addresses one of the persistent bottlenecks in cancer research: ...

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant risk of progressive renal impairment in a subset of patients. Early ...

"Our work environments demand employees who can participate effectively in teams, who can lead, who are skilled in conflict resolution and public speaking. These skills are honed through in-person ...

Here are the four key trends I see defining online and asynchronous learning right now that all education technology leaders ...

Abstract: Due to multidimensional heterogeneity, Multimodal Federated Learning (MMFL) confronts fundamental challenges including modality incongruence, modality agnosticism, and modality ...

This repository is the official Pytorch implementation for the paper Rethinking Multi-modal Object Detection from the Perspective of Mono-Modality Feature Learning. If you have any questions, please ...

ABSTRACT: Breast cancer is the most common cancer among women worldwide, posing significant diagnostic challenges. Traditional diagnostic techniques, while foundational, often lack precision and fail ...

Khoa Luu (Photo courtesy of Reid Williams/University of Arkansas) A collaborative research team led by Khoa Luu, associate professor in the Department of Electrical Engineering and Computer Science at ...

Tumor Site–Specific Radiation-Induced Lymphocyte Depletion Models After Fractionated Radiotherapy: Considerations of Model Structure From an Aggregate Data Meta-Analysis Lymphocytes play critical ...

A collaborative research team led by Khoa Luu, associate professor in the Department of Electrical Engineering and Computer Science at the University of Arkansas, has been awarded a $1 million grant ...

Institutions should be thinking about how all kinds of learners fit into their learning environments and avoid viewing online and in-person courses as distinct environments, according to Stephanie ...

Abstract: The aim of multimodal neural networks is to combine diverse data sources, referred to as modalities, to achieve enhanced performance compared to relying on a single modality. However, ...