Arnav Lal collects water at Playa Baquerizo on San Cristóbal Island as a sea lion watches.
(Image: Lisa Mattei)
2 min. read
In the late 1990s, a young Michael Kahana—then developing computer models of human memory—was invited to Harvard Medical School by a neurosurgeon friend to give grand rounds to the neurosurgery and neurology faculty. Afterward, he toured the ninth floor of Boston Children’s Hospital.
“It was the most important professional moment of my life,” says Kahana, Edmund J. and Louise W. Kahn Term Professor of Psychology in the School of Arts & Sciences.
On the ninth floor, patients with drug-resistant epilepsy were undergoing weeklong monitoring with implanted electrodes to help plan a potentially curative surgery. Kahana observed a teen patient playing a video game as a recording system captured reams of never-analyzed data. Except for a small snippet used for seizure mapping, the data were deleted each night; there was nowhere to store such a massive amount of information.
These were the roots for a decades-long adventure, as Kahana calls it, leading to the realization that it’s possible to predict when somebody will remember and when somebody will forget.
That journey took another step this past March when the Food and Drug Administration (FDA) bestowed a “Breakthrough Device Designation” on the Smart Neurostimulation System (SNS), an implantable therapy created by Kahana and colleagues through their Penn spinout, Nia Therapeutics. The device treats memory loss in adult patients with traumatic brain injuries (TBI). The designation, which the FDA reserves for technologies that address unmet needs in serious conditions, qualifies the device for priority review, meaning it will likely be reviewed faster.
Nia’s SNS is the first device to receive the designation for TBI-related memory loss. The company, Kahana says, is preparing to begin clinical trials in 2027. The differentiator, he adds, is how the SNS employs artificial intelligence to guide a closed-loop technology, which analyzes distributed patterns of brain activity and uses personalized models to deliver bursts of stimulation during predicted memory lapses.
Read more at Omnia.
Arnav Lal collects water at Playa Baquerizo on San Cristóbal Island as a sea lion watches.
(Image: Lisa Mattei)
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Nhlanhla Mavuso of Fluid Silicon at work in the Moore Building.
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