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Rachel V Thomas

Amazon's New AI Tool To Accelerate Early-stage Drug Discovery

Tech giant <span>Amazon</span>’s cloud unit has launched a new AI-powered application, <span>Amazon Bio Discovery</span>, that will help scientists design and test novel drugs more quickly, bringing new medical treatments to patients faster. 

Developed by <span>Amazon Web Services</span>, the new agentic AI application—a smart assistant that automates complex tasks—helps scientists select the right models for their research goals, optimize the inputs, and evaluate candidates for experimentation. 

"AI agents make powerful scientific capabilities accessible to all drug researchers, not just those with computational expertise," said Rajiv Chopra, vice president of AWS Healthcare AI and Life Sciences. 

"These AI systems can help scientists design drug molecules, coordinate testing, learn from results, and get smarter with each experiment. This combination of cutting-edge AI and the robust, secure infrastructure AWS has built for regulated industries allows scientists to accelerate antibody discovery in ways that weren't possible before," Chopra added.

<h2>How Amazon Bio Discovery Will Help Boost <span rel="noindex">Drug Discovery</span> </h2>

With the help of Amazon Bio Discovery, scientists can run complex computational workflows ‌without writing code. 

Notably, the platform also gives scientists direct access to a broad catalog of specialized AI models called biological foundation models (bioFMs) that are trained on vast biological datasets. These models generate and evaluate potential drug molecules, known as candidates, helping scientists accelerate antibody therapies during the early stages of drug discovery. 

<strong>Also read: </strong><a href="https://www.healthandme.com/health-wellness/india-must-integrate-technology-to-build-preventive-holistic-healthcare-experts-article-153936689" data-type="tilCustomLink">India Must Integrate Technology To Build Preventive, Holistic Healthcare: Experts</a>

Amazon Bio Discovery also enables scientists to securely feed prior experimental data from their organization's lab results into the application. They can use their own lab data to train custom models with just a few clicks—no need to build complex training pipelines or write custom code. 

Amazon Bio Discovery also provides three key capabilities: 

<ul><li>a benchmarked library of AI models and analysis packages, </li><li>an AI agent that helps researchers design experiments, </li><li>integrated lab partners that test the most promising antibody candidates and route results back to the scientists. </li></ul> 

<h2>Amazon Bio Discovery: Early adopters </h2>

Amazon Bio Discovery provides complete data isolation and gives customers ownership over all their proprietary data and intellectual property.

According to AWS, Bayer, the Broad Institute, Fred Hutch Cancer Center, and Voyager Therapeutics are among early adopters, and 19 of the top 20 ‌global pharmaceutical ⁠companies already use its cloud services. 

In a collaboration with Memorial Sloan Kettering Cancer Center, AWS said the platform used multiple models to generate nearly 300,000 novel antibody molecules and narrow them to 100,000 candidates for lab testing by partner Twist Bioscience, compressing work that can take months ⁠into weeks. 

<h2>Surging AI Adoption in Drug Development</h2>

Drugmakers and technology companies have stepped up efforts to use AI to accelerate drug development.

Recently, Danish pharmaceuticals group <span>Novo Nordisk</span>, maker of the popular <span>Ozempic and Wegovy</span> anti-obesity drugs, announced a "strategic partnership" with <span>OpenAI</span> to accelerate the development of new medications. 

<strong>Read More: </strong><a href="https://www.healthandme.com/health-news/telangana-astrazeneca-india-to-launch-ai-powered-lung-cancer-screening-in-public-hospitals-article-154018967" data-type="tilCustomLink">Telangana, Astrazeneca India To Launch AI-powered Lung Cancer Screening In Public Hospitals</a>

Novo Nordisk is banking heavily on AI to test new treatments and vaccines and bring them to market faster for less money. 

In 2024, Boston Consulting Group ⁠and <span>Merck</span> announced GenAI Collaboration with Merck. The collaboration will initially focus on disease networks and pathways for chronic and degenerative diseases.

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Tech giant Amazon’s cloud unit has launched a new AI-powered application, Amazon Bio Discovery, that will help scientists design and test novel drugs more quickly, bringing new medical treatments to patients faster. Developed by Amazon Web Services, the new agentic AI application—a smart assistant that automates complex tasks—helps scientists select the right models for their research goals, optimize the inputs, and evaluate candidates for experimentation. "AI agents make powerful scientific capabilities accessible to all drug researchers, not just those with computational expertise," said Rajiv Chopra, vice president of AWS Healthcare AI and Life Sciences. "These AI systems can help scientists design drug molecules, coordinate testing, learn from results, and get smarter with each experiment. This combination of cutting-edge AI and the robust, secure infrastructure AWS has built for regulated industries allows scientists to accelerate antibody discovery in ways that weren't possible before," Chopra added. How Amazon Bio Discovery Will Help Boost Drug Discovery  With the help of Amazon Bio Discovery, scientists can run complex computational workflows ‌without writing code.  Notably, the platform also gives scientists direct access to a broad catalog of specialized AI models called biological foundation models (bioFMs) that are trained on vast biological datasets. These models generate and evaluate potential drug molecules, known as candidates, helping scientists accelerate antibody therapies during the early stages of drug discovery.  Also read: India Must Integrate Technology To Build Preventive, Holistic Healthcare: ExpertsAmazon Bio Discovery also enables scientists to securely feed prior experimental data from their organization's lab results into the application. They can use their own lab data to train custom models with just a few clicks—no need to build complex training pipelines or write custom code.  Amazon Bio Discovery also provides three key capabilities: a benchmarked library of AI models and analysis packages, an AI agent that helps researchers design experiments, integrated lab partners that test the most promising antibody candidates and route results back to the scientists.  Amazon Bio Discovery: Early adopters Amazon Bio Discovery provides complete data isolation and gives customers ownership over all their proprietary data and intellectual property.According to AWS, Bayer, the Broad Institute, Fred Hutch Cancer Center, and Voyager Therapeutics are among early adopters, and 19 of the top 20 ‌global pharmaceutical ⁠companies already use its cloud services.  In a collaboration with Memorial Sloan Kettering Cancer Center, AWS said the platform used multiple models to generate nearly 300,000 novel antibody molecules and narrow them to 100,000 candidates for lab testing by partner Twist Bioscience, compressing work that can take months ⁠into weeks. Surging AI Adoption in Drug DevelopmentDrugmakers and technology companies have stepped up efforts to use AI to accelerate drug development. Recently, Danish pharmaceuticals group Novo Nordisk, maker of the popular Ozempic and Wegovy anti-obesity drugs, announced a "strategic partnership" with OpenAI to accelerate the development of new medications.  Read More: Telangana, Astrazeneca India To Launch AI-powered Lung Cancer Screening In Public HospitalsNovo Nordisk is banking heavily on AI to test new treatments and vaccines and bring them to market faster for less money.  In 2024, Boston Consulting Group ⁠and Merck announced GenAI Collaboration with Merck. The collaboration will initially focus on disease networks and pathways for chronic and degenerative diseases.

amazon's new ai tool to accelerate early-stage drug discovery

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Amazon's New AI Tool To Accelerate Early-stage Drug Discovery

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