Medical Technology

@Marktechpost 1 year ago

1/ Finetuning LLaMA on Medical Papers: Meet PMC-LLaMA-A Model that Achieves High Performance on Biomedical QA Benchmarks Quick Read: https://www.marktechpost.com/2023/05/04/finetuning-llama-on-medical-papers-meet-pmc-llama-a-model-that-achieves-high-performance-on-biomedical-qa-benchmarks/ #ArtificialIntelligence #DataScience

@neumll 1 year ago

⚙️ ETL processes for medical and scientific papers https://github.com/neuml/paperetl #machinelearning #ai #nlp #datascience #opensource #python #javascript #java #rustlang #golang https://t.co/sG7C6paARD

@genericgranola 2 years ago

Must Read NeurIPS papers on Medical Imaging https://monochelsea12.medium.com/must-read-neurips-papers-on-medical-imaging-cefdcb8b5f83 #AI #MachineLearning #DataScience #ArtificialIntelligence Trending AI/ML Article Identified & Digested via Granola; a Machine-Driven RSS Bot by Ramsey Elbasheer https://t.co/W5XDDukgJz

@icymi_py 2 years ago

🤖 paperai • AI-powered literature discovery and review engine for medical/scientific papers NeuML @neumll https://github.com/neuml/paperai #python #datascience https://t.co/ysbK5CI4m1

@gp_pulipaka 3 years ago

COVID Medical Papers with #Azure and #NLProc for #HealthTech. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://bit.ly/3ti51GA https://t.co/nLch6fkkmg

@icymi_py 3 years ago

✍️🩺 "paperai • AI-powered literature discovery and review engine for medical/scientific papers" NeuML @neumll https://github.com/neuml/paperai #python #datascience https://t.co/KNcd4vzPJL

@jma0611 4 years ago

Over 24,000 coronavirus research papers are now available in one place. Open call for #AI researchers to develop new techniques for text, data mining that will help the medical community comb through information faster. #technology #datascience https://www.technologyreview.com/s/615367/coronavirus-24000-research-papers-available-open-data/

@FOAMecmo 4 years ago

Medical errors common before cardiac arrest on wards mostly diagnosis delay (Hodgetts 2002) some #IHCA get #ICU late increasing morbidity/mortality may #AI #DataScience identify high-risk pts? check @CritCareMed papers #FOAMcc Churpek M #ESICMdata20 @ESICM #MachineLearning https://t.co/k9OmyqKJ0t