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Cancer and statistics

FlowingData

Hannah Fry works with statistics and risk, but her perspective changed when she was diagnosed with cancer. When she’s diagnosed with cervical cancer at the age of 36, she starts to interrogate the way we diagnose and treat cancer by digging into the statistics to ask whether we are making the right choices in how we treat this disease.

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Building fair algorithms

FlowingData

Emma Pierson and Kowe Kadoma, for Fred Hutchinson Cancer Center, have a short and free course on Coursera on practical steps for building fair algorithms : Algorithms increasingly help make high-stakes decisions in healthcare, criminal justice, hiring, and other important areas. It’s geared for beginners and no coding is required.

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Where cancer risk is greater due to air pollution

FlowingData

Based on five years of data from EPA models, ProPublica mapped areas in the United States where cancer risk is higher due to air pollution : In all, ProPublica identified more than a thousand hot spots of cancer-causing air. Tags: cancer , pollution , ProPublica. They are not equally distributed across the country.

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Writing about probability in a way that people will understand

FlowingData

percent risk of developing a particular kind of cancer may seem minuscule. Tags: uncertainty. Grace Huckins for The Open Notebook outlines useful ways to communicate the numbers more clearly — to increase the chances readers do understand. They reported that 1 of every 390 Indigenous Americans had died of COVID.

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Increasing mortality baseline

FlowingData

after only heart disease and cancer, which are both catchall terms for many distinct diseases. Tags: Atlantic , baseline , coronavirus , mortality. At least 953,000 Americans have died from COVID, and the true toll is likely even higher because many deaths went uncounted. COVID is now the third leading cause of death in the U.S.,

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Scale AI training and inference for drug discovery through Amazon EKS and Karpenter

AWS Machine Learning Blog

Iambic Therapeutics is a drug discovery startup with a mission to create innovative AI-driven technologies to bring better medicines to cancer patients, faster. v1alpha5 kind: ClusterConfig metadata: name: do-eks-yaml-karpenter version: '1.28' region: us-west-2 tags: karpenter.sh/discovery:

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10 everyday machine learning use cases

IBM Journey to AI blog

AI-enabled computer vision is often used to analyze mammograms and for early lung cancer screening. Doctors evaluating mammograms for breast cancer miss 40% of cancers, and ML can improve on that figure. Then, it suggests the social media user tag that individual.