Medical – PyTorch

Run inference at scale for OpenFold, a PyTorch-based protein folding ML model, using Amazon EKS

PyTorch Foundation — Tue, 25 Oct 2022 05:29:00 +0000

In drug discovery, understanding the 3D structure of proteins is key to assessing the ability of a drug to bind to it, directly impacting its efficacy. Predicting the 3D protein form, however, is very complex, challenging, expensive, and time consuming, and can take years when using traditional methods such as X-ray diffraction. Applying machine learning (ML) to predict these structures can significantly accelerate the time to predict protein structures—from years to hours.

Optimize Protein Folding Costs with OpenFold on AWS Batch

PyTorch Foundation — Tue, 04 Oct 2022 05:31:00 +0000

Knowing the physical structure of proteins is an important part of the drug discovery process. Machine learning (ML) algorithms like AlphaFold v2.0 significantly reduce the cost and time needed to generate usable protein structures. These projects have also inspired development of AI-driven workflows for de novo protein design and protein-ligand interaction analysis.

Ambient Clinical Intelligence: Generating Medical Reports with PyTorch

PyTorch Foundation — Thu, 12 May 2022 05:35:00 +0000

Complete and accurate clinical documentation is an essential tool for tracking patient care. It allows for treatment plans to be shared among care teams to aid in continuity of care and ensures a transparent and effective process for reimbursement.

How AI is Helping Vets to Help our Pets

PyTorch Foundation — Tue, 07 Sep 2021 05:53:00 +0000

1 in 4 dogs, and 1 in 5 cats, will develop cancer at some point in their lives. Pets today have a better chance of being successfully treated than ever, thanks to advances in early recognition, diagnosis and treatment.

Using PyTorch to streamline machine-learning projects

PyTorch Foundation — Sun, 20 Dec 2020 06:34:00 +0000

For many surgeons, the possibility of going back into the operating room to review the actions they carried out on a patient could provide invaluable medical insights.

How theator Built a Continuous Training Framework To Scale up Its Surgical Intelligence Platform

PyTorch Foundation — Thu, 17 Dec 2020 06:35:00 +0000

Performing surgery is largely about decision making. As Dr. Frank Spencer put it in 1978, “A skillfully performed operation is about 75% decision making and 25% dexterity”. Five decades later, and the surgical field is finally — albeit gradually — implementing advances in data science and AI to enhance surgeons’ ability to make the best decisions in the operating room. That’s where theator comes in: the company is re-imagining surgery with a Surgical Intelligence platform that

AstraZeneca is using PyTorch-powered algorithms to discover new drugs

PyTorch Foundation — Wed, 30 Sep 2020 06:39:00 +0000

Since it launched in 2017, Facebook’s machine-learning framework PyTorch has been put to good use, with applications ranging from powering Elon Musk’s autonomous cars to driving robot-farming projects. Now pharmaceutical firm AstraZeneca has revealed how its in-house team of engineers are tapping PyTorch too, and for equally as important endeavors: to simplify and speed up drug discovery.

Speeding up drug discovery with advanced machine learning

PyTorch Foundation — Wed, 30 Sep 2020 06:38:00 +0000

Whatever our job title happens to be at AstraZeneca, we’re seekers. I’m part of the Biological Insights Knowledge Graph (BIKG) team. We help scientists comb through massive amounts of data in our quest to find the information we need to help us deliver life-changing medicines.

Deploying huggingface‘s BERT to production with pytorch/serve

PyTorch Foundation — Sat, 25 Apr 2020 06:45:00 +0000

TL;DR: pytorch/serve is a new awesome framework to serve torch models in production. This story teaches you how to use it for huggingface/transformers models like BERT.