Nightingale Open Science Profile picture
We connect researchers with world-class medical data. Open data and compute for healthcare ML research & teaching. Join today!
Dec 14, 2021 39 tweets 55 min read
We'll be live-tweeting from our launch at #NeurIPS2021 today

Follow-along here! @ericschmidt – Former CEO of Google, technologist, entrepreneur, and philanthropist:

“Nightingale is incredibly important. It is the first large database of images that is being organized around healthcare. We saw how well this worked with ImageNet in 2011.”
Dec 14, 2021 13 tweets 6 min read
🎉🚀 We just launched Nightingale Open Science, a computing platform housing massive new medical imaging datasets for the public good

We hope Nightingale will help shed light on some of the biggest medical problems of our time

A 🧵on our vision & how to get involved (1/12) Most health data today are locked up in small sandboxes, controlled by a handful of private companies and well-resourced researchers

Nightingale unlocks such data securely and ethically, and makes them available for cutting-edge research (2/12)
Dec 13, 2021 18 tweets 8 min read
Tomorrow at #NeurIPS we’re launching Nightingale Open Science, a computing platform empowering researchers to access massive new health imaging datasets

We hope Nightingale will help solve some of the biggest medical problems of our time

A 🧵on how to get involved (1/16) Launch workshop features product demo + panels w/ top minds in CS, tech, medicine

@EricSchmidt @BarzilayRegina @JenniferChayes @AneeshChopra @EricTopol @MarzyehGhassemi @kevin_volpp @judywawira @mattlungrenMD @2plus2make5 @ensoesie

nightingalescience.org/conferences-20… (2/16)
Dec 13, 2021 8 tweets 3 min read
Tomorrow at #NeurIPS we’re launching Nightingale Open Science, a computing platform giving researchers access to massive new health imaging datasets

We hope Nightingale will help solve some of the biggest medical problems of our time

What makes these datasets special? (1/8) Our datasets are curated around medical mysteries—heart attack, cancer metastasis, cardiac arrest, bone aging, Covid-19—where machine learning can be transformative

We designed these datasets with four key principles in mind: (2/8)