treatment Archives

LabGenius uses Graphcore’s IPUs to speed up drug discovery

AI-driven scientific research firm LabGenius is harnessing the power of Graphcore’s IPUs (Intelligence Processing Units) to speed up its drug discovery efforts.

LabGenius is currently focused on discovering new treatments for cancer and inflammatory diseases. The firm combines AI, lab automation, and synthetic biology for its potentially life-saving work.

Until now, the company has been using traditional GPUs for its workloads. LabGenius reports that switching to...

21 April 2022 | Applications

DeepMind is using AI for protein folding breakthroughs

Protein folding could help diagnose and treat some of the worst diseases, and DeepMind believes AI can speed up that process. Conditions such as Alzheimer’s, Parkinson’s, Huntington’s, and cystic fibrosis are suspected to be caused by misfolded proteins. Being able to predict a protein’s shape enables a greater understanding of its role within the body. Previous techniques used for determining the shapes of proteins – such as cryo-electron microscopy, nuclear magnetic resonance, and...

3 December 2018 | Healthcare

AI is helping to make treatment for cancer more bearable

Researchers from MIT are using artificial intelligence to make treatment for cancer less debilitating but just as effective for patients. The AI learns from historical patient data to determine what the lowest doses and frequencies of medication delivered the desired results to shrink tumours. In some cases, the monthly administration of doses was reduced to just twice per year while achieving the same goal. Based on a trial of fifty patients, treatments were reduced to between a quarter and...

13 August 2018 | Healthcare

AI slashes cancer treatment plan creation to ‘mere hours’

Treating cancer is a race against time. Each moment which passes is an opportunity for it to spread and become untreatable. How long it takes for radiation therapy plans to be created today can take days. Individual maps need to be created for each patient to determine where tumours need to be targeted. This lengthy process is frustrating for the patient, their loved ones, and medical professionals who’d love nothing more than to spend time saving lives instead of creating...