Remove pharma-and-life-sciences
article thumbnail

Building resilient healthcare supply chains

IBM Journey to AI blog

In 2022, the pharma industry saw the most units recalled than in the past six years, with 567.3 These struggles are inconvenient, adversely impact the quality-of-care patients receive and increase staff stress levels. million, a 114% increase over the 264.6 million units recalled in 2021.

article thumbnail

Strengthening cybersecurity in life sciences with IBM and AWS

IBM Journey to AI blog

Cloud is transforming the way life sciences organizations are doing business. Leading life science companies are leveraging cloud for innovation around operational, revenue and business models. Leading life science companies are leveraging cloud for innovation around operational, revenue and business models.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Business leaders highlight the need for a hybrid cloud approach to unlock the power of generative AI

IBM Journey to AI blog

These organizations are less likely to have a formal approach to AI than some other industries, but they are showing progress: 57% of banks and financial markets organizations, 54% of insurers and 54% of life sciences/pharma institutions have adopted a formal approach to the technology so far.

article thumbnail

NVIDIA CEO: ‘This Year, Every Industry Will Become a Technology Industry’

NVIDIA

She also said that Amgen, one of the first companies to employ BioNeMo, plans to advance drug discovery with generative AI and NVIDIA DGX SuperPOD — and that BioNeMo is used by a growing number of techbio companies, pharmas, AI software vendors and systems integrators. Morgan Healthcare Conference. This is the generative AI revolution.”

article thumbnail

Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 1

AWS Machine Learning Blog

Analyzing real-world healthcare and life sciences (HCLS) data poses several practical challenges, such as distributed data silos, lack of sufficient data at any single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a centralized data repository.

article thumbnail

AI Drug Discovery: How It’s Changing the Game

Becoming Human

All pharma giants, including Bayer, AstraZeneca, Takeda, Sanofi, Merck, and Pfizer, have stepped up spending in the hope to create new-age AI solutions that will bring cost efficiency, speed, and precision to the process. Overhyped or not, investments in AI drug discovery jumped from $450 million in 2014 to a whopping $58 billion in 2021.

article thumbnail

Harnessing the power of enterprise data with generative AI: Insights from Amazon Kendra, LangChain, and large language models

AWS Machine Learning Blog

Foundation Models Pharma Ad Generator – A specialized application tailored for the pharmaceutical industry. Large language models (LLMs) with their broad knowledge, can generate human-like text on almost any topic. However, their training on massive datasets also limits their usefulness for specialized tasks.