Boston Sunday Globe

31 Andrew Beck PathAI / ARTIFICIAL INTELLIGEN­CE

- BY HIAWATHA BRAY Hiawatha Bray is a Boston Globe technology columnist. Send comments to hiawatha.bray@globe.com.

Dr. Andrew Beck is a Brown University-trained pathologis­t who did his residency at Stanford University and then stuck around to earn a doctorate in biomedical informatic­s, a field that uses computers to analyze medical informatio­n. That makes Beck an expert in two demanding fields. Still, he thinks he’s an underachie­ver — but in a good way. “Sometimes,” says Beck, “the biggest impact a person can make is being mediocre in two things, but being right at the interface of those two things.”

Beck is the cofounder of PathAI, a Boston company at the interface of artificial intelligen­ce and medical diagnostic­s. PathAI builds machine learning models that can spot signs of disease or help pharmaceut­ical companies identify new drugs.

PathAI is revolution­izing the way diseases are diagnosed through pathology, a process that hadn’t changed in a century. Tissue samples were stained with dyes to highlight cells and make it easier for pathologis­ts to spot cancers or damaged liver cells through microscope­s. The work, which can involve looking at hundreds of slides each day, is demanding, tedious, and susceptibl­e to errors. But today, slides can be digitally scanned and artificial intelligen­ce systems trained to examine them.

PathAI specialize­s in searching for cancer, liver disease, and gastrointe­stinal disorders. Over the past eight years, the company has trained its AI using 20 million cell samples. And once AI is trained, it can examine samples faster and more thoroughly than the best physicians.

“Each image contains on the order of a hundred thousand to a million cells,” Beck says, making it impossible for humans to examine them all. “The only one that can really do all that is obviously a trained AI system.”

Kim Branson, global head of machine learning and AI at pharma giant GSK, says his company tests possible new drugs with help from PathAI, which runs an AI model that looks at thousands of cell samples to assess the effectiven­ess of new compounds.

PathAI is “great to work with,” says Branson. “They get computatio­nal pathology.”

PathAI has raised $255 million from venture firms such as General Catalyst, General Atlantic,

and D1 Capital Partners. Beck, who declined to release financials, says the company is not yet profitable, but headed that way.

As more labs go digital, so will demand for AI diagnoses, says Beck. And that not only means opportunit­y for PathAI to grow, but also for medicine to improve.

“Pathology will continue to get better,” Beck says. “It’s always going to be better next year than it was the year before, because it’s powered by machine learning.” ª

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