All Episodes
EP 15
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AI-Generated Genomes, Retinal Implants, and Palomar's Mystery Lights Explained

UAP Analysis
Vision Science
Astronomy
AI
We open with a University of Toronto paper using a generative model (“OncoGAN”) to create synthetic cancer genomes for safer, faster precision oncology; jump to a New England Journal of Medicine clinical trial where a wireless, sub-retinal photovoltaic implant (PRIMA) restores central vision in advanced AMD; and close by pulling apart new analyses of the Palomar Sky Survey “multi-point transients” with a first-principles look at alignment statistics and an “Earth’s shadow” test. Hosted by Lester Nare and Krishna Choudhary. Summary Precision oncology without the privacy bottleneck: how a University of Toronto pipeline (OncoGAN) can synthesize ultra-realistic cancer genomes to democratize model training. Vision restoration, not just slowdown: the wireless, sub-retinal PRIMA implant and results from the PRIMAvera study (NEJM). Are those “mystery lights” real? Palomar POSS-I plate transients, alignment significance, and the decisive Earth’s-shadow control.
Publications of the Astronomical Society of the Pacific·

Aligned, Multiple-transient Events in the First Palomar Sky Survey

Imagine you take a picture of the sky before satellites were ever launched, and you find some unexpected bright spots. Scientists are looking for clues as to what caused these spots—they could be reflections from objects we haven’t identified yet. This research helps us understand what might have been out there before we filled the skies with technology.

Search for extraterrestrial intelligence (SETI)
Transient detection
New England Journal of Medicine·

Subretinal Photovoltaic Implant to Restore Vision in Geographic Atrophy Due to AMD

A new eye implant called the PRIMA system helped restore central vision in people with geographic atrophy, a severe form of age-related macular degeneration that causes blindness. After 12 months, patients showed significant improvement in their ability to see, offering hope for treating a condition that currently has no cure.

Cell Genomics·

In silico generation of synthetic cancer genomes using generative AI

Imagine you have a big puzzle, but you can't see all the pieces because they're hidden for privacy reasons. This makes it hard to solve the puzzle. Scientists have found a way to create new puzzle pieces that look just like the hidden ones, so they can share them with others to help solve the puzzle faster. This means they can understand cancer better and find new ways to treat it.

Generative AI
Synthetic data generation
Scientific Reports·

Transients in the Palomar Observatory Sky Survey (POSS-I) may be associated with nuclear testing and reports of unidentified anomalous phenomena

Imagine you're looking through old photographs of the night sky from the 1950s and you notice bright dots that appear in some pictures but not others - like stars that blink on and off. Scientists found hundreds of these mysterious "transient" objects in photos taken before any satellites existed. When they compared the dates these objects appeared with historical records of nuclear bomb tests and UFO reports, they found some surprising patterns: these mystery objects were 45% more likely to show up around the time of nuclear tests, and on days with more UFO reports, there tended to be more of these sky objects too. It's like finding that lightning tends to happen more often during thunderstorms - the connection might mean something important, even if we don't know exactly what yet.

Astronomical transients
Nuclear weapons testing