AI deciphers long-range DNA signals behind RNA splicing

Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...
IEEE

Brain Tumor Detection Using Deep Learning-Based CNN Model

Abstract: Brain tumors are a major menace to human life, requiring an early and accurate diagnosis for the betterment of patient health outcomes. This paper discusses an automated brain tumor ...
IEEE

Heart Disease Prediction System Using Machine Learning

Abstract: Heart disease remains a leading cause of mortality worldwide, necessitating early and accurate detection to improve patient outcomes. This paper presents a Heart Disease Prediction System ...
The Lancet

Advances in the diagnosis and detection of chronic kidney disease

cRenal Division, Department of Medicine, Peking University First Hospital, Beijing Key Laboratory of Research, Development and Translational Application of Multimodal Intelligent Diagnosis and ...
MassDevice

DermaSensor wins CE mark for skin cancer detection device

[Image courtesy of DermaSensor] DermaSensor announced today that it received Class IIb CE mark approval for its skin cancer detection device. Miami-based Dermasensor develops a handheld device that ...
Nature

Skin-attached bioadhesive patch enabling ultrasound deep brain stimulation and real-time electrophysiological monitoring for REM sleep enhancement

Wearable bioelectronic interfaces capable of simultaneous neural sensing and targeted deep brain modulation remain limited by the lack of non-invasive technologies with sufficient spatial precision ...
Nature

A multimodal deep learning model predicting hyperprogressive disease for PD-1 blockade in advanced hepatocellular carcinoma

Immune checkpoint inhibitors, particularly antibodies targeting programmed cell death 1 (PD-1), are increasingly used for advanced hepatocellular carcinoma (Ad-HCC), but treatment responses remain ...