@thenextweb.com 1 month ago
AI tool that creates digital twins of patients can predict future diseases
@zdnet.com 6 months ago
Microsoft unveils extensions to Fabric, Azure for healthcare AI
@zdnet.com 7 months ago
3 ways AI is revolutionizing how health organizations serve patients. Can LLMs like ChatGPT help?
@techcrunch.com 7 months ago
Monoclonal antibody treatments have many challenges — Narval is fixing them
@zdnet.com 9 months ago
Google's MedPaLM emphasizes human clinicians in medical AI
@engadget.com 10 months ago
Google is testing its medical AI chatbot at the Mayo Clinic
@theomitsa 10 months ago
https://arxiv.org/abs/2306.09968 ClinicalGPT: Large Language Models Finetuned with Diverse Medical Data #MachineLearning, #DataScience, #ChatGPT @Khulood_Almani @enilev @EstelaMandela @KevinClarity @Shi4Tech @bimedotcom @RLDI_Lamy @Analytics_659 @JagersbergKnut
@adamhulman 1 year ago
Registration for the first Pie & AI: Aarhus🥧 seminar of 2023 is now open: https://bit.ly/PieAI8 I'm looking forward to welcoming @valentinlievin (@RaffleAI) at @StenoAarhusRes on Feb 20. Topic: the medical knowledge encoded in large language models 🩺🤖 #ai #datascience https://t.co/AAEEeQDbvw
@pcworld.com 1 year ago
Google’s conversational AI service ‘Bard’ to challenge ChatGPT
@Radiology_AI 1 year ago
The challenges of training a very large medical imaging #transformer model https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #BERT #ML #MachineLearning https://t.co/y3sZ38NIZ7
@Radiology_AI 1 year ago
The challenges of training a very large medical imaging #transformer model https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #DeepLearning #ML #MachineLearning https://t.co/zkCddWgOZR
@Radiology_AI 1 year ago
The challenges of training a very large medical imaging #transformer model https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #BERT #AI #MachineLearning https://t.co/SlT3r4lHqe
@Radiology_AI 1 year ago
A large-scale 3D #transformer model could reduce the amount of data needed to train and fine-tune medical imaging #AI models https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #BERT #DeepLearning #MachineLearning https://t.co/924nXgpWwb
@techdirt.com 1 year ago
Surprise: Telehealth Startups Playing Fast And Loose With Sensitive User Medical Data
@Radiology_AI 1 year ago
A large-scale 3D #transformer model could reduce the amount of data needed to train and fine-tune medical imaging #AI models https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #Transformers #ML #MachineLearning https://t.co/Yjh54EzRFg
@Radiology_AI 1 year ago
A large-scale 3D #transformer model could reduce the amount of data needed to train and fine-tune medical imaging #AI models https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #DeepLearning #ML #MachineLearning https://t.co/cfC4OrFxC0
@Radiology_AI 1 year ago
A large-scale 3D #transformer model could reduce the amount of data needed to train and fine-tune medical imaging #AI models https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #BERT #DeepLearning #MachineLearning https://t.co/DVl9XtgTBI
@Radiology_AI 1 year ago
A large-scale 3D #transformer model could reduce the amount of data needed to train and fine-tune medical imaging #AI models https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #BERT #ML #MachineLearning https://t.co/d4DFnYAKqL
@Radiology_AI 1 year ago
The challenges of training a very large medical imaging #transformer model https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #AI #ML #MachineLearning https://t.co/ij1qLOqOrw
@Primary_Immune 1 year ago
🆕COVID-19 🦠in a large cohort of "Inborn Errors of Immunity" / Primary Immunodeficiency patients. - via NYC's Mount Sinai Medical Center 3% overall fatality-rate https://www.frontiersin.org/articles/10.3389/fimmu.2022.1035571/full #bioinformatics #scicomm #openscience #snrtg #datascience #iot #raredisease #immunology https://t.co/pq26puUWOM
@Radiology_AI 1 year ago
The challenges of training a very large medical imaging #transformer model https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #Transformers #AI #MachineLearning https://t.co/68vIIKCDag
@Radiology_AI 1 year ago
A large-scale 3D #transformer model could reduce the amount of data needed to train and fine-tune medical imaging #AI models https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #BERT #ML #MachineLearning https://t.co/xAASWKqFag
@Radiology_AI 1 year ago
The challenges of training a very large medical imaging #transformer model https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #BERT #DeepLearning #MachineLearning #AMIA2022 https://t.co/LvndChK6Cw
@Radiology_AI 1 year ago
A large-scale 3D #transformer model could reduce the amount of data needed to train and fine-tune medical imaging #AI models https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #DeepLearning #ML #MachineLearning https://t.co/t0Vza8lPaU
@techdirt.com 2 years ago
New York Times Editors Still Don’t Understand How Twitter Or The Internet Work
@extremetech.com 2 years ago
Russian Troops Reportedly Irradiated After Bumbling Around in Chernobyl Exclusion Zone
@engadget.com 2 years ago
Google seeks FDA approval for Fitbit's passive heart rate monitoring tech
@Unibocconi 2 years ago
Understanding uncertainty in #MachineLearning algorithms - @BotondSzabo6 obtained @ERC_Research starting grant to assess methods used when dealing with large quantities of complex data, as in medical imaging, autonomous cars, or in dating the Big Bang… https://www.knowledge.unibocconi.eu/notizia.php?idArt=23900
@slashgear.com 2 years ago
Princeton researchers’ latest salt grain-sized camera has massive potential
@arXiv_Daily 2 years ago
DeepMCAT: Large-Scale Deep Clustering for Medical Image Categorization https://deepai.org/publication/deepmcat-large-scale-deep-clustering-for-medical-image-categorization by Turkay Kart et al. including @glockerben #MachineLearning #ComputerScience
@cziscience 2 years ago
We’re excited to kick off our medical #imaging workshop + discuss large-scale imaging studies and how AI and #MachineLearning can support diagnostics. Follow this 🧵 for meeting updates
@slashgear.com 2 years ago
Apple sued by medical device maker over Apple Watch Series 6 pulse oximetry
@andrewdfeldman 3 years ago
Cerebras Systems today announced our collaboration with @AstraZeneca using Cerebras CS-1 to advance drug discovery – specifically training large-scale NLP models to enable rapid medical literature search on PubMed #AI #NLP #pharmatech #pharma #DL #datascience https://twitter.com/CerebrasSystems/status/1386710936891936772
@slashgear.com 3 years ago
Researchers claim to have reversed the aging process using an oxygen chamber
@GSCollins 4 years ago
Reporting quality of studies using #MachineLearning models for medical diagnosis by @epi_afro "All studies in this review failed to use reporting guidelines, and a large proportion of them lacked adequate detail..." https://tinyurl.com/s37a59w
@janalasser 4 years ago
On my way to #Austria to start my PostDoc at @CSHVienna in the field of #NetworkMedicine. Looking forward to sharing insights into the science of complex networks and the insights gained from large heaps of medical data 🤓 #DataScience #PostDocLife https://t.co/SdaRri0haQ
@zdnet.com 4 years ago
Nuance delivers strong Q4, sees growth in Dragon Medical business
@_atanas_ 4 years ago
Search for Therapeutic Agents for Cardiac Arrest Using a Drug Discovery Tool and Large-Scale Medical Information Database #CardiacArrest #DrugDiscovery #DataScience https://www.frontiersin.org/articles/10.3389/fphar.2019.01257
@zdnet.com 4 years ago
Nannytechnology: Thanks for breaking my medical marijuana vape, Apple
@GeneFiddler 4 years ago
The power of #BigData exemplified here. It's so important to have large samples when assessing pathogenicity of rare CNVs. Great work @GeorgeKirov1 et al. Medical consequences of pathogenic CNVs in adults: analysis of the UK Biobank https://jmg.bmj.com/content/56/3/131
@geekwire.com 4 years ago
Geek of the Week: UW’s Justin Chan uses computer science skills to democratize medical devices