@thenextweb.com 16 days ago
AI-powered ‘deep medicine’ could transform healthcare in the NHS
@techcrunch.com 8 months ago
Monoclonal antibody treatments have many challenges — Narval is fixing them
@SPIEtweets 10 months ago
Regulatory considerations for #MedicalImaging #AI/ML devices: concepts & challenges. Read the #OpenAccess report by @US_FDA in #SPIE_JMI: https://www.spiedigitallibrary.org/journals/journal-of-medical-imaging/volume-10/issue-05/051804/Regulatory-considerations-for-medical-imaging-AI-ML-devices-in-the/10.1117/1.JMI.10.5.051804.full?utm_campaign=twitter&utm_content=1688180400&utm_medium=social_networking&utm_source=customer_centric_multi_product #MachineLearning #MedTwitter https://t.co/nk6L1KvB3Y
@Elekta 10 months ago
As the demand for cancer care rises, personalized medicine and what this means for people with #cancer continues to be a key issue. We’d like to thank @sweden2023eu for inviting our CEO Gustaf Salford to participate in a panel on #bigdata, its challenges and the promise it… https://twitter.com/i/web/status/1673693176886878212 https://t.co/ilXJC0F4Zw
@raqini 1 year ago
From 2 May my work on #machineLearning #AIethics exhibited in central London at #HumantoArtificial! I'll show an #AI medical decision tool working & related ethical challenges!So excited🤩 ⏰ 2May-30June Arcade,Bush House @KCLBHI @KingsIoPPN @NIHRMaudsleyBRC @aiatkings https://t.co/AESxyRzuyG
@cnet.com 1 year ago
Medication Abortion Battleground: Lawsuit Challenges FDA's Drug Review Process - CNET
@giemmecci 1 year ago
Join us today at 8 pm ET for this month #RadAIchat discussing opportunities and challenges associated with the use of synthetic data in medical imaging. #MachineLearning #DeepLearning @RSNA @Radiology_AI https://twitter.com/radiology_ai/status/1630977288408793094
@techdirt.com 1 year ago
DoNotPay’s CEO Appears To Modify Donation Receipt After Being Called Out On Unfulfilled Promise
@tech.eu 1 year ago
Want to live longer? This Berlin startup aims to bring you back from the dead
@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
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
@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
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
@techcrunch.com 1 year ago
Cityblock Health CEO Toyin Ajayi on how to scale human-centered care models
@freddytn 1 year ago
Shifting #MachineLearning for #healthcare from development to deployment & from models to data By A Zhang, L Xing, J Zou & J Wu Data-centric view of #innovation + challenges #health #medicine #datascience #artificialintelligence @natBME @NaturePortfolio https://www.nature.com/articles/s41551-022-00898-y
@wired.com 1 year ago
Abortion Pills May Force States and the FDA Into a Standoff
@MinaNMincheva 1 year ago
The #AI debate, Con: @PWGTennant beautifully explaining the principles of #MachineLearning before delving into the challenges with AI being applied in modern medicine #ESHRE2022 https://t.co/AhfzihQ67k
@arXiv_Daily 1 year ago
Reinforcement Learning in Medical Image Analysis: Concepts, Applications, Challenges, and Future Directions https://deepai.org/publication/reinforcement-learning-in-medical-image-analysis-concepts-applications-challenges-and-future-directions by Mingzhe Hu et al. #MachineLearning #UnsupervisedLearning
@youldash 1 year ago
After a work that lasted many months with considerable setbacks, I've finally completed the AI for Healthcare #Udacity Nanodegree program. Highly recommended to those interested in applying #MachineLearning, #DeepLearning and #DataScience techniques to solving medical challenges. https://t.co/303Oi07cFO
@gliffai 2 years ago
http://gliff.ai are delighted to be part of the #ScotAISummit. The panel addressing challenges for trustworthy #AI in #healthcare has been a fantastic opportunity to highlight excellent practices, work and learnings. #machinelearning #MLOps #medtech #medicalAI #healthAI https://t.co/BF7O7IJTET
@Data61news 2 years ago
We have multiple postdoc positions now accepting applications! From hyperspectral sensing & medical image analysis, to natural disaster modelling & machine learning for robotic design, help solve some of the greatest challenges using #DataScience & #AI https://bit.ly/3q1sKuj https://t.co/wuFfMJM26X
@slashgear.com 2 years ago
For the first time a modified pig kidney has been transplanted into a human
@techcrunch.com 2 years ago
Can the path to equitable healthcare avoid insurers?
@MitraJoon 2 years ago
I was recently invited by the @CosmosMagazine to take out my figurative binoculars & look at the past, present and future @ANSTO's #ncept #CancerResearch is the future of caner therapy & one can't forget #BigData, its potential to revolutionlise medicine & challenges involved https://twitter.com/ScienceAU/status/1419874429182435332
@CellPressNews 2 years ago
In this review, the authors highlight key promises and achievements in integration of #MachineLearning platforms into #ClinicalMedicine and outline limitations and challenges toward enhanced integration of #LearningSystems into the medical realm.
@CellPressNews 2 years ago
In this review, the authors highlight key promises and achievements in integration of #MachineLearning platforms into #ClinicalMedicine and outline limitations and challenges toward enhanced integration of #LearningSystems into the medical realm. https://www.cell.com/med/fulltext/S2666-6340(21)00155-0
@AI4Pathology 2 years ago
Our new @natBME short paper demonstrates utility and identifies key challenges associated with using #synthetic data in #MachineLearning and #AI for medicine. Read link: https://rdcu.be/cmAfk Journal link: https://go.nature.com/3wtgSDr @richarizardd95 https://t.co/igwJTa8EZj
@geekwire.com 3 years ago
Cure the common code: OpenMRS aims to improve medical record systems in developing countries
@_SanjayDas 3 years ago
#MachineLearning in #medicine, despite the challenges, can help us to benefit in the following fields: https://bit.ly/35Qgv9F #healthcare #HealthTech #HealthIT CC: @EvanKirstel @mvoller11 @antgrasso @LindaGrass0 @mikequindazzi @evankirstel @iiot_world @ronald_vanloon https://t.co/ALa3t2pCSO
@slashgear.com 3 years ago
Researchers discover another new coronavirus strain in multiple countries
@jamamark3 3 years ago
#MachineLearning in #medicine, despite the challenges, can help us to benefit in a few fields. Details: https://bit.ly/35Qgv9F #healthcare #HealthTech #HealthIT @EvanKirstel @mvoller11 @antgrasso @LindaGrass0 @mikequindazzi @evankirstel @iiot_world @ronald_vanloon https://t.co/VdkICmqsgj
@_SanjayDas 3 years ago
#MachineLearning in #medicine, despite the challenges, can help us to benefit in a few fields. Details: https://bit.ly/35Qgv9F #healthcare #HealthTech #HealthIT @EvanKirstel @mvoller11 @antgrasso @LindaGrass0 @mikequindazzi @evankirstel @iiot_world @ronald_vanloon https://t.co/XNNBQUQGVH
@KirkDBorne 3 years ago
New report from @USGAO and @theNAMedicine — #AI is Promising in #HealthCare, but Challenges Remain: https://dy.si/qMwh9T2 —————— #AIEthics #TrustedAI #XAI #BigData #DataScience #MachineLearning #DeepLearning #AI4good #HealthTech #Medicine #PrecisionMedicine #ClinicalAnalytics https://t.co/Y4UD9dMN8a
@Calsoft_Data 3 years ago
#MachineLearning in #medicine, despite the challenges, can help us to benefit in the following fields: https://bit.ly/35Qgv9F #healthcare #HealthTech #HealthIT #ML CC: @EvanKirstel @mvollmer1 @antgrasso @LindaGrass0 @mikequindazzi @evankirstel @iiot_world @ronald_vanloon https://t.co/1cWBbwLdkC
@sujatvis 3 years ago
#MachineLearning in #medicine, despite the challenges, can help us to benefit in the following fields: https://bit.ly/2YnPojB #healthcare #HealthTech #HealthIT CC: @EvanKirstel @mvoller11 @antgrasso @LindaGrass0 @mikequindazzi @evankirstel @iiot_world @ronald_vanloon https://t.co/J6e3F5yyWH
@slashgear.com 3 years ago
Caltech researchers develop a new at-home multiplexed test for COVID-19
@Cambridge_Uni 3 years ago
The pandemic has presented huge challenges for #clinicaltrials, but #machinelearning techniques could help improve them, both during the pandemic and beyond. New research from the Cambridge Centre for AI in Medicine @CC4AIM: https://bit.ly/3hX7gIT @MihaelaVDS #COVID19
@sujatvis 3 years ago
#MachineLearning in #medicine, despite the challenges, can help us to benefit in the following fields: https://bit.ly/2YnPojB #healthcare #HealthTech #HealthIT CC: @EvanKirstel @mvoller11 @antgrasso @LindaGrass0 @mikequindazzi @evankirstel @iiot_world @ronald_vanloon https://t.co/JM8sBFRLbp
@moorejh 3 years ago
Interested applying ML & AI to electronic health record data? Join me at 10:40am EDT for my TransMed 2020 keynote on 20 challenges for AI in medicine as part of #ISMB2020 https://www.iscb.org/cms_addon/conferences/ismb2020/tracks/transmedcosi #artificialintelligence #machinelearning #EHR #informatics #bioinformatics
Six tales from the trenches of running a startup
@eff.org 3 years ago
Medical Device Repair Again Threatened With Copyright Claims
@cointelegraph.com 4 years ago
Blockchain Mends Medical Supply Chain to Counter COVID-19 Challenges
@imageannotation 4 years ago
The future of #ArtificialIntelligence (#AI) in medical imaging is full of promise as well as challenges. Computer vision can support researchers in diagnosing diseases and in pursuing new routes of treatment. Learn more: https://buff.ly/3aHNmyF #Blockchain #MachineLearning https://t.co/oO1Du8PL8h
@JeanGeorgesAE 4 years ago
In Amsterdam for a two day meeting of the Patients and Consumers' Working Party of the European Medicines Agency @EMA_News #Regulatory science #Antimicrobial resistance #supply chain challenges #patientinvolvement #ClinicalTrials and #BigData on the agenda
@eenork 4 years ago
My superhero #WomenInScience: @GSBS_UMassMed @karlssonlab grad students @tabbloza (as Kitty Pryde) and @shirley_xueli41 (as Blink) fearlessly tackle new challenges in #bioinformatics #MachineLearning #genomics #medicine Future is bright. @broadinstitute https://t.co/hDCSKHn6Rn
@geekwire.com 4 years ago
Microsoft launches $40M initiative to solve global health challenges with AI