Stanford professor on the future of life-saving medicine | Steve Quake

What if AI could tell us we have cancer before we show a single symptom? Steve Quake, head of science at the Chan Zuckerberg Initiative, explains how AI can revolutionize science.

AI can help us understand complex systems like our cells. better. The Chan Zuckerberg Initiative is committed to building one of the world’s biggest non-profit life science AI computing clusters to help build digital models of what goes wrong in cells when we get diseases like diabetes or cancer and more.

We created this video in partnership with the Chan Zuckerberg Initiative.

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About Steve Quake:

Steve Quake oversees a shared, comprehensive strategy across the CZ Science program and technology teams, the CZ Biohub Network, and the Chan Zuckerberg Institute for Advanced Biological Imaging.

His research is at the nexus of biology, physics, and technology development. He has invented many measurement tools for biology, including new DNA sequencing technologies that have enabled rapid analysis of the human genome, and microfluidic automation that allows scientists to efficiently isolate cells for single-cell biology.

Quake is also the Lee Otterson Professor of Bioengineering and professor of applied physics at Stanford University. He joined Stanford in 2005 to help found and lead Stanford’s then-new bioengineering department as it grew to nearly two dozen faculty members. He was an Investigator at the Howard Hughes Medical Institute from 2006 to 2016.

[TheBioCosmos]

There is no other time like now to do research in cell biology. As a cell biologist myself, this is so incredibly exciting. The wonder of the cell is endless.

[ronkirk]

The miracle of modern medicine (that is if you can access it) has resulted in a steady increase in life expectancy and better quality of life and there is no end in sight. The challenge now is to ensure EVERYONE can benefit regardless of economic status.

[smking]

As a first year med student, this video gives me hope about the future of medicine

[MrTrompey]

So Nice to see the potential of AI and an positive approach on that topic

[sumitbhardwaj]

I was also reading that AI will be tremendously helpful to understand diseases like schizophrenia and other mental diseases. It will be a revolutionary thing if it is used for humanity not in destruction.

[Malassaf]

I hope AI will help us understand the pathophysiologic mechanisms of the different types of depression and anxiety
I think these two condition are the main obstacles in humanities progression. too many works and advances has been postponed because of these two factors

[Mehrdadkh]

I am very eager that my knowledge of Machine learning be used in health care and make a profound impact in human future.

[Köennig]

We may be in the edge of getting life expectancy to 100 and above.

[mavr]

Let’s hope this technology doesn’t get highjacked and held to ransom by the pharmaceutical and health insurance industries.

[likeicare]

Can someone improve how we treat disc bulges and spine issues, and sciatica ? Treatment is still primitive in that space that affects so many pe5

[swayze_daisy]

What a wonderful time to be alive~ Amazing advancements that were science fiction in the past, now science fact! :D

[julessinzi-pt]

This is so beautiful, I'm crying rn😭

[HominidPetro]

With regards to the title of this video, it wasn't discussed until the last 30sec

[thebiologista]

The perfect blend of life sciences and AI. Great insights!

[Harry-]

Please do something for epilepsy cure😢

[kaystephan]

I really wonder where we will be in 50 years from now. We're quickly entering cell and dna based medicine. In 2019 Israeli researchers 3D printed a tiny heart. It was only the size of a rabbit heart BUT it was a full heart with tissue, vessels, chambers etc. The researchers said that in 15 years (which would be 2034) they want to implant the first heart 3D printed with stem cells. This technology will progress a lot in the next decades and could significantly extend human lifespan. Heart disease is the #1 leading cause of death. But if you replace your heart at, say, age 40 your heart-timer basically starts from 0. And who knows what else we might be able to do with stem cells etc. to keep the brain and the rest of the body fresh. There's also a lot of research into what causes senescense in cells. "Ageing" is simply cells in a tissue getting damaged, eventually dying off while being replaced less and less and the cells that do get replaced are of worse quality. AS a result the tissue gets worse and worse. Your skin starts to LOOK older, it is more frail, gets wrinkly etc. because it looses elasticity, thickness and it just overall becomes weaker. We already understand some mechanisms that cause cells to eventually accumulate damage due to repair mechanisms no longer working properly. Same for cell replacement mechanisms. There's also research into cancer prevention. Blue Whales should be riddled with tumors right? Because they have a gigantic body mass. Same for elephans. But...they don't. The reason? While we humans only have 1 or 2 different "anti-cancer genes", blue whales have like 20. That STILL doesn't mean blue whales are always cancer free. Even they get cancer. BUT it is a lot less common.

[fC-bbug]

Machine learning and artificial intelligence are everywhere, we cannot ignore its benefits. By using machine learning algorithms, cancer cells can be classified in accordance with different variables such as cell shape, cell size and etc resulting in detection of them by a certain proportion. But there are some hurdles to determine the process that we need big computer systems and server for big data from analysis. Throughout the teaching the machine out regarding medicine implementations, overfitting is a big issue to be taken away that the machine learning model should not memorize the all datasets behave. unless otherwise, the algorithms mistakenly say "yes" to "no" resulting in failure.

[Thaythichgiachanh]

Thank you very much for your valuable information ♥👍👍

[kagannasuhbeyoglu]

The future looks like it will be incredible in every field of science...

[SyedaEmaan-wb]

can a pharm d graduate is eligible for doing such work after graduation?