IEEE

Optimizing Structured-Sparse Matrix Multiplication in RISC-V Vector Processors

Abstract: Structured sparsity has been proposed as an efficient way to prune the complexity of Machine Learning (ML) applications and to simplify the handling of sparse data in hardware. Accelerating ...
Journal of Medical Internet Research

Optimizing Initial Vancomycin Dosing in Hospitalized Patients Using Machine Learning Approach for Enhanced Therapeutic Outcomes: Algorithm Development and Validation Study

The cohort was randomly divided into training and testing datasets in a 7:3 ratio, and multiple ML techniques were used to develop an algorithm for optimizing initial vancomycin dosing. The optimal ...
Scientific Research Publishing

A Lightweight MobileViT with a Dual-Path Attention Mechanism for MRI Image Classification ()

Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...
IEEE

High-Speed and Secure ECC Processor for Chinese SM2 Using Modified Karatsuba Multiplier Based on FPGA

Abstract: High-performance throughput is a critical issue in the hardware implementation of elliptic curve cryptography (ECC). This paper presents the construction of a high-speed ECC processor based ...
Endocrinology Advisor

AACE Releases 2026 Update to Type 2 Diabetes Management Algorithm

The American Association of Clinical Endocrinology (AACE) has released the 2026 update to its consensus statement algorithm for the management of adults with type 2 diabetes (T2D). The statement was ...
Health Affairs

When The Front Door Is An Algorithm: Guiding Consumer Use Of AI In Health Care

On January 7, 2026, OpenAI announced ChatGPT Health, a new feature that allows users to review medical test results, prepare for doctor appointments, and seek guidance on diet and fitness—while ...