At Secure AI Labs, we help hospitals control, track, and trace patient data in a secure manner, and enable research at an accelerated pace.

Cambridge, MA
Joined September 2018
Secure AI Labs (SAIL) retweeted
Discover our novel AI-based Patient Decision Aid System (PDAS) at #TLM23 TODAY at 1:00 PM! Developed through FLF's SUNN-1 study, our XGBoost-based PDAS offers early risk stratification for #NAFLD with notable accuracy➡️jmp.sh/3wb41BeM @ArrayInsights @JonathanStineMD
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Secure AI Labs (SAIL) retweeted
An active conversation on the ethical use of patient data is vital according to @secureailabs, a company recently invested in by #MozillaVentures. Read more in their blog post coauthored by Mozilla’s @miguelmorachimo secureailabs.com/the-ethical…
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Secure AI Labs (SAIL) retweeted
On our way to building a great support structure for women to excel in #kidneycancer! Thanks to @KimrynRathmell @AlbigesL for leading our inaugural women in #rcc breakfast! #IKCS2021 – at Austin, TX
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Secure AI Labs (SAIL) retweeted
With heavy hearts we share that Dr. Christopher G. Wood, chair of the KCA Board of Directors, died on November 3. Dr. Wood was a gifted surgeon who championed the kidney cancer community. We will miss him terribly and send our love to his wife Colleen, and children Sarah & Chris.
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Secure AI Labs (SAIL) retweeted
Wonderful tributes and memories to Dr. Chris Wood from friends and colleagues at #ikcs2021. – at Austin, TX
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Secure AI Labs (SAIL) retweeted
.@secureailabs has entered a partnership with the @KidneyCancer to provide federated learning and data security technologies #cancerresearch #federatedlearning #AI #ArtificialIntelligence #datasecurity #datascience healthtechhotspot.com/using-…
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Secure AI Labs (SAIL) retweeted
Don't miss the opportunity to apply for an Advanced Discovery Award, Young Investigator Award, or Psychosocial Focus Award! We're giving $1.375 million in research grants this year. Apply today at bit.ly/2NPDqJZ! #cancerresearch #kidneycancer #psychooncology #stem
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Secure AI Labs (SAIL) retweeted
New machine learning algorithm ranks drugs based on efficacy in reducing cancer cell growth | #AI #HealthCare #Pharmaceuticals #MachineLearning #DeepeLearning #Cancer bit.ly/3t2aVf7
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Secure AI Labs (SAIL) retweeted
Researchers develop new algorithm that could reduce complexity of big data | #DataScience #Analytics #BigData #MachineLearning #DeepLearning bit.ly/2NjNK04
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Secure AI Labs (SAIL) retweeted
CRISPR @NobelPrize in Chemistry to @jadoudna and @e__charpentier. This is a big deal in genomics, medicine, and the world nyti.ms/3loECTo
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Secure AI Labs (SAIL) retweeted
Learn about the future of clinical data research from Anne Kim, founder & CEO of @secureailabs #open #secure #federatedlearning #datamarketplace #proudinvestor healthtechmagazine.net/artic…
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Secure AI Labs (SAIL) retweeted
Sarbecovirus #ComparativeGenomics elucidates #SARSCoV2 genes & #COVID19 recent mutations. ORFs 10, 3b, 14 not protein-coding. New gene 3c. Rapid evolution in ORF8, Spike. Recent acceleration in conserved Nucleocapsid & Spike regions, overlapping constraint biorxiv.org/content/10.1101/…
Secure AI Labs (SAIL) retweeted
Users are unable to connect to Slack. We are investigating and will provide an update shortly. status.slack.com/2020-05/147…
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Secure AI Labs (SAIL) retweeted
Meet MIT Professor Manolis Kellis, a Pioneer of the Human Genome dlvr.it/R6LrgL
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Secure AI Labs (SAIL) retweeted
Ryan Davis presents #privacy preserving @secureailabs #FederatedLearning through secure enclaves for #EHR #genomics #health by de-siloing data across institutions, industries, academia, and diverse data types @csail_alliances @herroannekim #CSAILAM2019 xitter.cf/herroannekim/status/11… – at Cambridge, MA
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Secure AI Labs (SAIL) retweeted
What are the dangers of #bigdata? @Alex_Pentland describes the small and large scale consequences of misusing data. ftr.bz/pentland2/tw2
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In light of the NYT report yesterday about data deals, Facebook $FB mentions of "data" in its Risk Factors section in its 10-K filings 2013: 26 mentions 2014: 33 2015: 41 2015: 49 2016: 55 2017: 62 2018: 96 Could be material, no?
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