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Researchers at the Ludwig Institute for Cancer Research have developed a full, AI-enabled, start-to-finish computational pipeline that integrates both multiple molecular and genetic analyses of tumors with mass spectrometry data for the development of personalized cancer vaccines.
Precision Oncology Today
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5 Key Startups Bringing Digital Pathology Into Focus
Digital pathology is driving precision medicine by turbocharging the analysis of tissue slides. Here are the five top startups turning microscopy into a data...
How Is Artificial Intelligence Changing the Clinical Trials Landscape?
There is no doubt that artificial intelligence (AI) is currently en vogue. Many AI and machine-learning applications are already being deployed in drug discovery and development. Not only can AI process, analyze, and interpret huge datasets, it can also be used for structural drug design and toxicity and efficacy predictions.
Trending on Inside Precision Medicine
Healthcare AI Assessment “Fragmented and Inconsistent”
Healthcare large language models, such as AI chatbots, are being evaluated in a fragmented and inconsistent way, researchers have discovered, with just one in every 20 studies using real patient data that encompasses the complexities of clinical practice.
COVID Infection Puts Young People at Higher Risk of Type 2 Diabetes
Ten to nineteen year olds had a 55% higher risk of a new type 2 diabetes (T2D) diagnosis one month after a COVID infection, compared with young people diagnosed with a non-COVID respiratory virus.
Comprehensive AI-Enabled Pipeline Aids Development of Personalized Cancer Vaccines
Researchers at the Ludwig Institute for Cancer Research have developed a full, AI-enabled, start-to-finish computational pipeline that integrates both multiple molecular and genetic analyses of tumors with mass spectrometry data for the development of personalized cancer vaccines.
