Stories about: Isaac Kohane

Forecasting the convergence of artificial intelligence and precision medicine

Image of artificial DNA, which in combination with other artificial intelligence could contribute to an artificial model of the immune system
Will an artificial model of the immune system be the key to discovering new, precision vaccines?

This is part I of a two-part blog series recapping the 2018 BIO International Convention.

At the 2018 BIO International Convention last week, it was clear what’s provoking scientific minds in industry and academia — or at least those of the Guinness-world-record-making 16,000 people in attendance. Artificial intelligence, machine learning and their implications for tailor-made medicine bubbled up across all BIO’s educational tracks and a majority of discussions about the future state of biotechnology. Panelists from Boston Children’s Hospital also contributed their insights to what’s brewing at the intersection of these burgeoning fields.

Isaac Kohane, MD, PhD, former chair of Boston Children’s Computational Health and Informatics Program, spoke on a panel about how large-scale patient data — if properly harnessed and analyzed for health and disease trends — is a virtual goldmine for precision medicine insights. Patterns gleaned from population health data or electronic health records, for example, could help identify which subgroups of patients who might respond better to specific therapies.

According to Kohane, who is currently the Marion J. Nelson Professor of Biomedical Informatics and Pediatrics at Harvard Medical School (HMS), we will soon be leveraging artificial intelligence to go through patient records and determine exactly what doctors were thinking when they saw patients.

“We’ve seen again and again that data abstraction by artificial intelligence is better than abstraction by human analysts when performed at the scale of millions of clinical notes across thousands of patients,” said Kohane.

And based on what we heard at BIO, artificial intelligence will revolutionize more than patient data mining. It will also transform the way we design precision therapeutics — and even vaccines — from the ground up.

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Three challenges precision medicine faces before it can scale up

Different aspects of precision medicine therapyDoctors, scientists, consumers, entrepreneurs and others came together recently for the Precision Medicine 2017 symposium at Harvard Medical School, now in its third year. This year’s theme was “breakaway business models.” What are challenges in developing targeted treatments based on clinical and genetic data, and how do we overcome them?

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Creating a blueprint for rare disease medicine

blueprint for rare disease medicinePresident Obama’s Precision Medicine Initiative, first laid out in his 2015 State of Union Address, aims to develop individualized care that empowers patients and takes into account genetic, environmental and lifestyle differences. Obama is asking Congress for $309 million for the initiative next year.

One big component is the Department of Veteran Affairs’ Million Veteran Program, which has signed up more than 450,000 veterans to date and is now open to active-duty military personnel. Another is NIH support for cancer trials that match treatments with patients’ genomic profiles.

Parent/citizen scientist Matt Might has in mind another group: patients with undiagnosed genetic disorders. In searching for a diagnosis for his son Bertrand, Might came up with a precision medicine algorithm that outlines step by step what a patient and family can do — from genomic sequencing to finding similar patients to working with biomedical researchers to find therapeutic strategies. It’s an impressively comprehensive blueprint for citizen science.

As Might detailed today at a White House summit on the Precision Medicine Initiative, he now has worms at the University of Utah modeling his son’s disease, whose symptoms include seizures, extreme developmental delay and an inability to make tears. He also has a molecular target and a list of 70 compounds that hit it, including 14 that are already approved by the FDA.

Can Might’s vision be scaled and made part of routine medical care, keeping the patient front and center?

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