Hooray for #MachineLearningHealth! 🤩 Check out our first issue, which includes a #dataset article as well 👏 💊

As we get ready for the weekend (#Friyay), your favorite friendly neighborhood editor wants to remind everyone that #MachineLearningHealth, #MachineLearningEarth, and #MachineLearningEngineering are open for submissions 😊 #MachineLearning #IOPPublishing

Another article in #MachineLearningHealth 👏🏻🥳

A new study in #MachineLearningHealth discovers that #ChatGPT can accelerate patient screening for #ClinicalTrials, showing promise in reducing delays and improving trial success rates.
Published in Machine Learning: Health's First issue.
Read the full, open access issue here: ow.ly/I8VF50WxRah

The first issue of #MachineLearningHealth is here!!! Super pumped about the latest developments in #MachineLearning and #medicine (#MedSky), #health, and #healthcare 🏥 go have a look! #EditorsLife

🔖Recently published in #MachineLearningHealth: Geometry-encoded deep learning (GeoDL) framework for real-time 3D dose verification for online adaptive radiotherapy.

Read it, share it, cite it here: https://ow.ly/vcNS50XtWlg

#MachineLearning

Epilepsy is a significant global health issue, requiring dependable diagnostic tools for precise detection & treatment. AI has emerged as a powerful tool in this domain, offering the potential for real-time, responsive monitoring.

Read more in #MachineLearningHealth 👉 https://ow.ly/n4Ck50XtWem

What can #MachineLearningHealth do for you?

Bringing you fully accessible research, dedicated to the development and application of #MachineLearning in #Healthcare and the #medical, #biological, #clinical and #HealthSciences.
👉Read the editorial from our EiC, Jimeng Sun: ow.ly/9iUl50WMOo9

On my way to #NeurIPS2025! Happy to chat about @iopp-mlresearch.bsky.social #MachineLearningScienceandTechnology, #MachineLearningHealth, #MachineLearningEarth, and #MachineLearningEngineering 🤖 Thursday through Sunday, or at our booth in the Exhibitor space (Booth T4). Come say hi! 😊 #EditorsLife

Machine learning based phenotyping of the response to mindfulness for chronic low back pain
Gardiner, P., Incollingo Rodriguez, A. C. et al.
Paper
Details
#MachineLearningHealth #MindfulnessForPain #ChronicLowBackPainResearch

Machine learning based prediction of high school student mental health
Incollingo Rodriguez, A. C., Kelly, L. M. et al.
Paper
Details
#MachineLearningHealth #AdolescentMentalHealth #IncollingoRodriguezStudy

Using machine learning to identify subgroups with the highest expected benefit in a population-based water, sanitation, handwashing, and nutrition intervention
Colford, J. M., Fernald, L. C. et al.
Paper
Details
#MachineLearningHealth #GlobalWASHInterventions #PopulationHealthStrategy