New to deep learning? Here is a great resource d2l.ai/d2l-en.pdf

The PacBio and Oxford Nanopore (Guppy v3.6) datasets are now available for the precisionFDA Truth Challenge V2. To accommodate analysis of these datasets we have extended the submission deadline for the challenge to June 8th go.usa.gov/xvsnv

Activating artificial intelligence ⁦Amazon Web Services⁩ in the fight against #Covid - highlighted by ⁦Swami Sivasubramanian⁩. And for all your research questions, visit our explorer cord19.aws ⁦World Economic Forum⁩ ⁦#ai weforum.org/agenda/2020/05…

. openFDA recently stood up this special public #API for independent evaluations of #COVID19 serological tests by the U.S. FDA and NIH open.fda.gov/apis/device/co…

Machine learning helps unlock data related to COVID-19 epidemic amazon.science/latest-news/ma…

Over 250M requests served by ⁦openFDA⁩ since we launched it in 2014, including drug adverse events, cosmetic products adverse reactions, animal pet food recalls, tracking medical device implants, and more... open.fda.gov/about/statisti…

Looking for therapeutic equivalence is as simple as an API call to openFDA’s new medical product endpoint (some data going as far back as 1939) kudos to Lonnie Smith at the U.S. FDA for shepherding this effort

Did you get your #flushot ?

Another great community challenge by precisionFDA and Genome in a Bottle for advancing genomics standards

Yesterday, we introduced Amazon #HealthLake during Swami Sivasubramanian #MachineLearning keynote at AWS re:Invent. In our blog here, Dr. mza and I explain the significance of this new service and why healthcare and life sciences customers are excited about it. aws.amazon.com/blogs/machine-…

13,352 adverse events related to #covid19 reported to the U.S. FDA in 2020. Here is the top list of associated drug classes retrieved from openFDA (notice IL6) api.fda.gov/drug/event.jso…

Check out our new Featured Expert blog post and learn about the importance of synthetic data and how it is being used to inform Veteran healthcare: go.usa.gov/xstrA #syntheticdata #VeteranHealth #COVID19 #AIforCOVID

In terms of data, we use Scala and Apache Spark as the main drivers for aggregating +40 datasets, analysing openFDA FAERS, processing Europe PMC articles literature using SparkNLP from JohnSnowLabs and producing ML models. x.com/d0choa/status/…

Really great to see openFDA continues to provide value to the public, in this case target and drug discovery. Congrats to the Open Targets team on achieving a new milestone U.S. FDA

.openFDA

Did you get your #flu shot?

📰 Read “Exploring bacterial diversity via a curated and searchable snapshot of archived DNA sequences” from Wellcome Sanger Institute EMBL-EBI in PLOS Biology ⤵️ journals.plos.org/plosbiology/ar…

Let’s bring back “innovation” and “regulation” in the same sentence! Welcome back Dr. Robert M. Califf @califf001

6 years ago ⁦Dr. Robert M. Califf⁩ ⁦@califf001⁩ ⁦U.S. FDA⁩

#AI in #healthcare is evolving. Read more about the current state of artificial intelligence in healthcare and where it’s headed in 2023: healthtechmagazine.net/article/2022/1…