One of the world’s premier biopharmaceutical companies, @pfizer
, is using Claude on Amazon Bedrock to aid discovery of potential cancer treatments to achieve breakthroughs for patients faster.
GENERATIVE AI
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Pfizer Uses Claude on Bedrock for Cancer Treatment Discovery
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Claude Enables Genome Research for Genetic Variant Discovery
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A leader in human genome research, @GenomicsEngland is developing a solution using Claude on Amazon Bedrock to help researchers identify associations between genetic variants and medical conditions.
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Dana-Farber Uses Claude AI for Cancer Lab Results Interpretation
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The @DanaFarber Cancer Institute, a world leader in cancer treatment and research, built a new research solution using Claude on Amazon Bedrock that helps clinicians interpret complicated lab results.
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BenevolentAI Leverages Claude for Biotech Model Development
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UK-based TechBio company @benevolent_ai uses Claude to evaluate datasets, annotate evidence for model fine-tuning, and textualize non-literature data modalities for its models to reason over.
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Claude Transforms Drug Discovery and Personalized Medicine
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From accelerating drug discovery to enabling personalized medicine, global healthcare organizations are turning to Claude for solutions to some of their biggest challenges.
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NVIDIA Inception startups showcase generative AI at Google Cloud Next
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Today at #GoogleCloudNext, learn how #NVIDIAInception companies like @iamAible and @Qwak_ai accelerate #generativeAI workflows for enterprise. Join us at booth #1421 for this startup showcase. https://
nvda.ws/3vJjt0X 2:00pm Booth #1421 -
Community AI Tutorials Transform The Rundown Logo Design
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The Rundown logo turned into cookies and chocolate with AI Posted by @uglykiki404 in The Rundown University The community-shared AI tutorials have been blowing my mind!
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AI Data Extraction Accuracy Requires Human Review
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I included the date mistake (assuming 2019 not 2024) in the video to try to help illustrate that – it's generally great at extracting things correctly if everything is present in the text, but you still have to review what it did because there are many ways things could go wrong
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GPT-3 training parallels with current AI developments
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Same could have been said after we trained GPT-3.