Harry Clifford

Oct 16, 2024 | onlinelibrary.wiley.com | Harry Clifford |Menaka Paranathala |Yujiang Wang |Rhys Thomas

VNS is a safe and effective therapy for drug-resistant epilepsy. Key brain areas implicated in VNS include the thalamus, amygdala, hippocampus, and insula, among others. Identifying markers of difference in response to VNS within DRE could explain heterogeneity in outcomes. Promising markers are present in imaging, neurophysiological, clinical, and biochemical data, but these are often underinvestigated.

Sep 23, 2024 | blogs.nvidia.com | Harry Clifford

The Wellcome Sanger Institute, a key contributor to the international Human Genome Project, is turning to NVIDIA accelerated computing to save energy while saving lives. With one of the world’s largest sequencing facilities, the U.K.-based institute has read more than 48 petabases — or 48 quadrillion base pairs — of DNA and RNA sequences to uncover crucial insights into health and disease.

Mar 19, 2024 | developer.nvidia.com | Harry Clifford

NVIDIA Parabricks v4.3 was released at NVIDIA GTC 2024, introducing new tooling and workflows that bring acceleration and the latest AI techniques to multiple omics data types. In addition to analyzing DNA and RNA, you can now also analyze methylation, single-cell, and spatial omics workloads at high speed and high accuracy with the power of GPUs and generative AI.

Nov 29, 2023 | developer.nvidia.com | Harry Clifford

NVIDIA BioNeMo Framework has been released and is now generally available to download on NGC, enabling researchers to build and deploy generative AI, large language models (LLMs), and foundation models in drug discovery applications. The BioNeMo platform includes managed services, API endpoints, and training frameworks to simplify, accelerate, and scale generative AI for drug discovery.

Oct 30, 2023 | developer.nvidia.com | Harry Clifford

Parabricks version 4.2 has been released, furthering its mission to deliver unprecedented speed, cost-effectiveness, and accuracy in genomics sequencing analysis. The latest version delivers a newly accelerated workflow for Oxford Nanopore sequencing (in the featured image), enables Parabricks to be run on the latest NVIDIA GPUs, and furthers Parabricks’ accelerated deep learning variant calling initiative to support data types from all major sequencer types.