Advancing early diagnosis of Type 1 Diabetes in children with Machine Learning
In 2021, over 355,900 children worldwide were diagnosed with type 1 diabetes, a number expected to rise significantly by 2050. Early diagnosis is cruc…
Tag: Machine Learning
Breakthrough wearable device enables speaking without vocal folds
A machine-learning-assisted system revolutionizes communication for patients with voice disorders A team of researchers at UCLA has developed a rev…
UMass Memorial Health Partners with Google Cloud to Improve Healthcare with Predictive Analytics for Advanced Cardiometabolic Therapies
Using Google Cloud’s AI, machine learning, and data analytics, UMass Memorial Health is building a solution to more accurately identify patients for advanced therapiesWORCESTER, Mass.--(BUSINESS WIRE)--UMass Memorial Health, a leading healthcare syste...
Early cognitive impairment detected by Linus Health’s Digital Clock and Recall Test
In a recent peer-reviewed study published in the Alzheimer's Research & Therapy journal, Linus Health, a digital health company focused on detecti…
Examining Perceptions and Concerns: Machine Learning-based Risk Prediction Models in Healthcare
In the recent systematic review published in The Lancet Digital Health, researchers delved into the perceptions and concerns surrounding machine learn…
Machine Learning unveils Heart Failure subtypes and outcome predictions in landmark study
In a comment published in The Lancet Digital Health, researchers have utilized machine learning techniques to identify distinct subtypes of heart fail…
Koneksa Announces Partnership with Beacon Biosignals for Clinical Trial in Sleep and Neurologic Disorders Using EEG Biomarkers
NEW YORK--(BUSINESS WIRE)--#biotech--Koneksa, the evidence-based digital biomarkers company, announced today a partnership with Beacon Biosignals, the leading computational neurodiagnostics company, to launch a clinical trial to investigate the integra...
Closing Clinical and Research Gaps in Interstitial Lung Diseases: The Role of Machine Learning in Image Biomarker Research
Interstitial lung diseases (ILDs) are complex and challenging to manage, particularly when it comes to early detection, accurate prognosis, and effect…
Machine Learning models to predict neonatal seizures using Electronic Medical Record data
Seizures are a significant risk factor for neonates with critical illnesses, and early detection and treatment are associated with improved outcomes. …
Artificial Intelligence and Clinical Implementation
What are the barriers to algorithm adoption among physicians and healthcare facilities and how can they be overcome? We all know the progress and s…