Researchers in Nature Communications introduced an innovative design for soft robots that mimic skeletal muscles and sensory skins. These robots, integrating sensing and actuation capabilities, demonstrated potential in medical implants, dynamically responding to various stimuli for tasks such as drug delivery and cardiovascular monitoring.
Researchers at the University of South Florida are revolutionizing mosquito monitoring with artificial intelligence to help fight malaria in Africa. Together with an interdisciplinary team of researchers, Ryan Carney, associate professor of integrative biology, and Sriram Chellappan, professor in the department of computer science and engineering, will advance the study of malaria and look into creative ways to target malaria-infected mosquitoes in real time.
TOKYO & NEW YORK & DÜSSELDORF, Germany--(BUSINESS WIRE)--Robotics manufacturers developing the next generation of devices need precise torque control, compact system design, and parts that generate low heat.
Researchers at the University of South Florida, led by Professor George Spirou, developed a VR-based high-resolution imaging method to map brain structures, focusing on the calyx of Held. This groundbreaking study aims to advance understanding of developmental disorders like autism and improve treatments for brain diseases and injuries.
Researchers from Tsinghua University predicted the presence of coronary artery disease by combining facial thermal imaging and artificial intelligence (AI). The study has been published in the open-access journal BMJ Health & Care Informatics.
In a recently published study in the journal Cyborg and Bionic Systems, researchers introduced a new type of electromagnetic drive system.
To further the fight against global lung cancer, Qure.ai, a world leader in healthcare Artificial Intelligence (AI), will unveil its AI-powered lung cancer continuum at the American Society of Clinical Oncology (ASCO) annual meeting in Chicago, from May 31 to June 4, 2024.
Researchers from Duke University created an assisted machine learning model that significantly enhances medical personnel's comprehension of the electroencephalography (EEG) charts of patients in intensive care.
HealthLynked Corp., a leading innovator in healthcare technology, is thrilled to announce the launch of its new AI-powered chat function designed to assist patients in finding healthcare providers across the country.
The AI4Life consortium collaborated with researchers from the Instituto Gulbenkian de Ciências (IGC) in Portugal and Åbo Akademi University in Finland to develop DL4MicEverywhere, an intuitive interface that enables researchers to train and apply deep learning models on a variety of computing infrastructures, from laptops to high-performance clusters.
Terms
While we only use edited and approved content for Azthena
answers, it may on occasions provide incorrect responses.
Please confirm any data provided with the related suppliers or
authors. We do not provide medical advice, if you search for
medical information you must always consult a medical
professional before acting on any information provided.
Your questions, but not your email details will be shared with
OpenAI and retained for 30 days in accordance with their
privacy principles.
Please do not ask questions that use sensitive or confidential
information.
Read the full Terms & Conditions.