@CjBayesian

Corey Chivers. AI Scientist https://xitter.cf/t.co/H26JbvYNcK

 Philadelphia
bayesianbiologist.com/
Joined April 2011
  • Tweets2.9K
  • Following1.5K
  • Followers1.7K
135Media
A Data Scientist is a device for turning coffee and data into better decisions.
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Proscia
@Proscia14 Feb 2024
Our CEO @davidwest_Irl shares a message on our FDA 510(k) clearance. Want to learn more? Join our webinar on March 8. bit.ly/3ume5Ag
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Daniel Aldana Cohen@aldatweets29 Jan 2023
Finally: some cutting-edge climate social science on NPR! The brilliant @triofrancos explains how we can avoid tons of dangerous, contested mining by pumping up public transit and driving normal size EVs. Your weekend dose of @cpluscp ☕️. npr.org/2023/01/29/115238728…

The hidden environmental costs of transitioning to electric vehicles

NPR's Ayesha Rascoe speaks with Thea Riofrancos, professor at Providence College, about her new research into the environmental costs of the transition to electric vehicles in the United States.

npr.org
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Mon collègue @CjBayesian a présenté une affiche sur l'#IA qui prédit la discordance diagnostique pour les cas de #mélanome lors du récent Digital Pathology & AI Congress (Europe) et l'a récapitulée sur le blog de @ProsciaInc : proscia.com/dissecting-diagn…
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Read more about our latest research wherein we demonstrate the how AI can identify melanoma cases with the highest diagnostic uncertainty. bit.ly/3BOLHHq @ProsciaInc @SeanGrullon @juliannalog @vvaughnage

Digital Pathology and Precision Medicine Insights | Proscia

Explore Proscia’s latest insights on digital pathology, pathology AI, clinical diagnostics, biomarker discovery, and precision medicine.

proscia.com
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Proscia
@Proscia20 Dec 2022
From London to the blog - Sr. AI Scientist @CjBayesian recaps his poster presentation from #DigitalPathology & AI Congress: Europe. Get a look at our research demonstrating the promise of AI to identify melanoma cases w/ the highest diagnostic uncertainty. bit.ly/3BOLHHq

Digital Pathology and Precision Medicine Insights | Proscia

Explore Proscia’s latest insights on digital pathology, pathology AI, clinical diagnostics, biomarker discovery, and precision medicine.

proscia.com
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Ravi B. Parikh@ravi_b_parikh16 Dec 2022
🚨 NEW 🚨 in @JCOCCI_ASCO: #MachineLearning algorithms to predict mortality or adverse events are often based on routinely-collected administrative #data. Big limitation. How does incorporating the #patient voice into predictions help? Answer: A lot! ascopubs.org/doi/full/10.120…
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Ravi B. Parikh@ravi_b_parikh6 Dec 2022
🚨NEW in @AMIAinformatics w/ Jinbo Chen @AmolNavathe @CjBayesian @k8courtright + colleagues @Penn🚨 How did the #COVID19 #pandemic impact healthcare #algorithms? We show that COVID utilization "shock"➡️long-lasting declines in algorithm performance🧵academic.oup.com/jamia/advan…
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Excited to share our team's work in London this week. We use AI to quantify implicit intra-pathologist discordance using only inter-pathologist data. This is key to understanding how much diagnostic signal the AI can capture!
Proscia
@Proscia5 Dec 2022
Finalizing your agenda for Digital Pathology and AI Congress? Don't miss our Senior AI Scientist Corey Chivers' poster presentation. Until then, get a glimpse of the research and see our full plans for the event on our dedicated page. bit.ly/3AzIJpx #DigiPathGE
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We model each pathologist's probability of labeling a melanocytic lesion as malignant in order to determine how often we would expect pairs of pathologists to agree. Deviations from this expectation represent intra-pathologist diagnostic certainty that remains un-captured by AI.
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Our deep learning model correctly predicts 82% of the discordance between pathologists.
Our work on predicting pathologist concordance of melanoma diagnosis detection is up! Helping identify the 'hard cases' will allow efficient routing to specialist, improving accuracy and reducing time-to-diagnosis.
DeepAI
@DeepAI12 Oct 2022
Using Whole Slide Image Representations from Self-Supervised Contrastive Learning for Melanoma Concordance Regression deepai.org/publication/using… by Sean Grullon et al. including @juliannalog #ArtificialIntelligence #Recall

DeepAI

Artificially intelligent tools for naturally creative humans.

deepai.org
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Julianna Ianni@juliannalog14 Sep 2022
Just announced! @unilabs has selected @ProsciaInc's DermAI to advance its aspiration of becoming the most digitally-driven diagnostic group. Read the full release for more. bit.ly/3ePH2Mw
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Former lab-mate doing great work. Making my day :) Way to go, @ayazhyder !
The Ohio State University College of Public Health@OSUPublicHealth23 Aug 2022
“I take our land-grant mission to heart...I believe it is my responsibility as a researcher and a citizen.” Learn more about how @ayazhyder is turning data into solutions for improving the health and well-being of people in his community and beyond. alumnimagazine.osu.edu/story…

He sees the potential for data to do good

Researcher Ayaz Hyder turns insights from the pandemic into tools that can help us better navigate future public health crises.

alumnimagazine.osu.edu
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Proscia
@Proscia17 Jun 2022
Today! Senior AI Scientist Vaughn Spurrier takes the #ECDP2022 stage to present "Automated Quality Control of Whole Slide Images Using Artificial Intelligence." Catch his presentation in Ballroom II at 9:40 CEST.
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Brendan O'Donoghue
@bodonoghue8511 Jun 2022
Jensen's Ginequality.
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Ravi B. Parikh@ravi_b_parikh31 May 2022
🚨NEW🚨 in @PLOSONE led by @erichli1: Suppose a validated #MachineLearning algorithm identifies that your patient is at risk for a bad outcome. How do you respond? The answer: It depends on what type of doctor you are... journals.plos.org/plosone/ar…
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PAIR Center@PAIRCenter11 Apr 2022
Fighting sepsis is an ongoing battle and for patients with hospital acquired sepsis, capacity strain may contribute to antimicrobial delays. Learn more about this important underlying factor in new research from PAIR fellow @JenGinestraMD. @garyweissman pubmed.ncbi.nlm.nih.gov/3531…

Association of Unit Census with Delays in Antimicrobial Initiation among Ward Patients with...

Rationale: Patients with hospital-acquired sepsis (HAS) experience higher mortality and delayed care compared with those with community-acquired sepsis. Capacity strain, the extent to which demand...

pubmed.ncbi.nlm.nih.gov
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Colouring book self-supervised learning bayesianbiologist.com/2022/0…

Colouring book self-supervised learning

Self-Supervised Learning: Its child’s play Recently at home with my mom and sister and I was explaining a bit about the work I’m going to be doing in AI for digital pathology. We got ta…

bayesianbiologist.com
For physicists, its cool to work at the LHC (Large Hadron Collider). For a data scientist doing causal inference, its cool to work at an LHC (Large Hospital Collider).
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