Dylan Lawless

303 posts

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Dylan Lawless

Dylan Lawless

@meddlaw

Quant compbio | precision med | UZH | Switzerland Omics | chair SGA

Switzerland Katılım Ocak 2017
49 Takip Edilen261 Takipçiler
Dylan Lawless
Dylan Lawless@meddlaw·
We are just about to release the ACMG Validator for genetics. 🎉🧬 switzerlandomics.ch/technologies/a… Free to use 🎁 Genetic medicine can help diagnose disease, guide treatment, and support precision medicine. These decisions still need professional review and sign-off.
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Dylan Lawless
Dylan Lawless@meddlaw·
The PanelAppRex manuscript has just been accepted in Bioinformatics Advances. In precision medicine, DNA should be searched systematically, not only where we expect to find answers. Disease-gene database and natural language search. academic.oup.com/bioinformatics…
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Dylan Lawless
Dylan Lawless@meddlaw·
@razoralign Thanks for posting our article. We developed this because it's a common bottleneck across the institutions that we work with. At the Children's hospital Zurich we are learning some important lessons in translational medicine.
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Dylan Lawless
Dylan Lawless@meddlaw·
Most evidence standards collapse under interpretation. QEM does the opposite. It defines one thing only: whether verifiable evidence is present. Binary. Auditable. Interoperable. A new standard from the Swiss Genomics Association. swissgenomicsassociation.ch/pages/sga_qem/
Dylan Lawless tweet media
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Siniša Savić
Siniša Savić@sinisauksav·
It was pleasure to record a podcast about our recent paper on VEXAS treatment outcomes in the UK. If you interested to hear more please follow the link: In conversation with... Sinisa Savic thelancet.com/doi/story/10.1…
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Richard Sutton
Richard Sutton@RichardSSutton·
AI researchers seek to understand intelligence well enough to create beings of greater intelligence than current humans. Reaching this profound intellectual milestone will enrich our economies and challenge our societal institutions. It will be unprecedented and transformational, but also a continuation of trends that are thousands of years old. People have always created tools and been changed by them; this is what humans do. The next big step is to understand ourselves. This is a quest grand and glorious, and quintessentially human.
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Dylan Lawless
Dylan Lawless@meddlaw·
Developing a Bayesian-based reinforcement learning module for disease #genomics. This classic testbed is from Sutton and Barto's pole balancing challenge - implemented in R (for the first time?) to ensure our actor-critic/MDP algos are effective. Too different from genetic data?
GIF
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