making living biology legible to machines. founder CEO @precigenetics . scuba diver. bioengineer. probably asking one more question. ex @penn comp bio
San Francisco
Joined June 2019
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“What will you do after cancer is cured?” I will be away from the keyboard. It was nice knowing you 🤿
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Should we switch to “Preci” from “Precigenetics”? We own Preci dot ai. People seem to call us Preci all the time anyway.
Please respond in the poll in replies to this post.
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Probably the funniest part about me is that I was on the Penn competitive curling team. I was the first at Penn vs Yale bonspiel 😂
Today i learned there’s a curling club in Oakland. Guess who’s going
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it just hit me that i could not be here with you today if i did not seek medical help after being injured. and i just want to say that im so glad im alive. im so glad i get to be here. i will never come in dangers way like this again.
i love every single one of you.
thanks @tomieinlove for saving my life.
Parmita Mishra 🔬 retweeted
Preci is the common crawl of biology
To train models to filter for useful drugs, first we need to measure how real cells respond to drugs over time. Until Preci, this literally hasn't been possible. Crazy
I don't think AI can cure cancer until it has the right data to learn from. Right now, that data mostly doesn't exist. I believe Precigenetics can change that.
Most large biological datasets used to train AI "virtual cell" models show cells at a single moment, usually because the measurement (ex: sequencing) destroys the cell. You get a "before" and an "after" treatment, but not the path in between.
That path can matter a lot though. For example, tumor cells adapt to drugs over hours and days, and resistance often emerges in exactly the window a snapshot misses.
Precigenetics addresses this challenge by measuring the dynamic response of cells to drugs and other perturbations. They can measure morphological and biochemical changes inside living cells, without labels or killing the cell.
The second problem is that most of this kind of data comes from 2D cell lines or animal models, which often don't represent how human tissue will respond. That's one reason so many drugs that look promising in preclinical studies fail in human trials.
Precigenetics is extending its platform to human organoids, 3D tissue models that more closely resemble real human biology.
Put those together and you get exactly the kind of data that is needed to train the next generation of AI virtual cells to solve cancer (and other diseases!).
Parmita is a formidable founder and she is now looking for investors to support her mission. If you are an angel investor, I highly recommend reaching out!
Full disclosure: I am an advisor for, and hold equity in Precigenetics.
BTW this drug discovery news article is about Precigenetics! It was on the front page.
drugdiscoverynews.com/you-ca…
I don't think AI can cure cancer until it has the right data to learn from. Right now, that data mostly doesn't exist. I believe Precigenetics can change that.
Most large biological datasets used to train AI "virtual cell" models show cells at a single moment, usually because the measurement (ex: sequencing) destroys the cell. You get a "before" and an "after" treatment, but not the path in between.
That path can matter a lot though. For example, tumor cells adapt to drugs over hours and days, and resistance often emerges in exactly the window a snapshot misses.
Precigenetics addresses this challenge by measuring the dynamic response of cells to drugs and other perturbations. They can measure morphological and biochemical changes inside living cells, without labels or killing the cell.
The second problem is that most of this kind of data comes from 2D cell lines or animal models, which often don't represent how human tissue will respond. That's one reason so many drugs that look promising in preclinical studies fail in human trials.
Precigenetics is extending its platform to human organoids, 3D tissue models that more closely resemble real human biology.
Put those together and you get exactly the kind of data that is needed to train the next generation of AI virtual cells to solve cancer (and other diseases!).
Parmita is a formidable founder and she is now looking for investors to support her mission. If you are an angel investor, I highly recommend reaching out!
Full disclosure: I am an advisor for, and hold equity in Precigenetics.
Parmita Mishra 🔬 retweeted
Our platform is the missing link he’s describing. Providing AI with the “right data” is why we won’t settle for less than a bespoke, scalable and unified methodology. The “right data” is why we build the MBOP.
I don't think AI can cure cancer until it has the right data to learn from. Right now, that data mostly doesn't exist. I believe Precigenetics can change that.
Most large biological datasets used to train AI "virtual cell" models show cells at a single moment, usually because the measurement (ex: sequencing) destroys the cell. You get a "before" and an "after" treatment, but not the path in between.
That path can matter a lot though. For example, tumor cells adapt to drugs over hours and days, and resistance often emerges in exactly the window a snapshot misses.
Precigenetics addresses this challenge by measuring the dynamic response of cells to drugs and other perturbations. They can measure morphological and biochemical changes inside living cells, without labels or killing the cell.
The second problem is that most of this kind of data comes from 2D cell lines or animal models, which often don't represent how human tissue will respond. That's one reason so many drugs that look promising in preclinical studies fail in human trials.
Precigenetics is extending its platform to human organoids, 3D tissue models that more closely resemble real human biology.
Put those together and you get exactly the kind of data that is needed to train the next generation of AI virtual cells to solve cancer (and other diseases!).
Parmita is a formidable founder and she is now looking for investors to support her mission. If you are an angel investor, I highly recommend reaching out!
Full disclosure: I am an advisor for, and hold equity in Precigenetics.
Parmita Mishra 🔬 retweeted
I don't think AI can cure cancer until it has the right data to learn from. Right now, that data mostly doesn't exist. I believe Precigenetics can change that.
Most large biological datasets used to train AI "virtual cell" models show cells at a single moment, usually because the measurement (ex: sequencing) destroys the cell. You get a "before" and an "after" treatment, but not the path in between.
That path can matter a lot though. For example, tumor cells adapt to drugs over hours and days, and resistance often emerges in exactly the window a snapshot misses.
Precigenetics addresses this challenge by measuring the dynamic response of cells to drugs and other perturbations. They can measure morphological and biochemical changes inside living cells, without labels or killing the cell.
The second problem is that most of this kind of data comes from 2D cell lines or animal models, which often don't represent how human tissue will respond. That's one reason so many drugs that look promising in preclinical studies fail in human trials.
Precigenetics is extending its platform to human organoids, 3D tissue models that more closely resemble real human biology.
Put those together and you get exactly the kind of data that is needed to train the next generation of AI virtual cells to solve cancer (and other diseases!).
Parmita is a formidable founder and she is now looking for investors to support her mission. If you are an angel investor, I highly recommend reaching out!
Full disclosure: I am an advisor for, and hold equity in Precigenetics.
how does this guy write so well
you all are falling victim to the pastiche of martyrdom without any of the glory. get over yourselves
jaw: dropped.
this stuff is so tiresome. jp morgan lead new york city yacht club to two successive cup victories, rockefeller raced trotters through central park, ellison made sailboats fly
you all are falling victim to the pastiche of martyrdom without any of the glory. get over yourselves
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