French medtech startup Robeauté has raised $28 million (£23m) to develop its microrobots which enter the brain to diagnose, treat and monitor neurological conditions.
The robots, which are the size of a grain of rice,…
Enabled by the rapid rise in data collected by technologies, Digital Biomarkers (DBx) have emerged as a novel mechanism for assessment, diagnosis, and monitoring. However, the exponential growth and ability to generate new data…
Continue Reading
Computer-assisted surgery is becoming essential in modern medicine to accurately plan, guide, and perform surgeries. Similarly, Digital Twin technology is expected to be instrumental in the future of surgery, owing to its capacity to…
Continue Reading
We are only two weeks into 2025, and a small handful of healthcare AI companies have already announced funding rounds exceeding $100 million — signaling a strong start to what investors predicted would be…
Continue Reading
Exercise and mindfulness-based interventions have growing evidence for managing fatigue and comorbid symptoms; however, packaging them in a cohesive digital way for patients undergoing cancer treatment has not been evaluated. We conducted a randomized…
Continue Reading
What You Should Know:
– Helix, a leader in population genomics and precision health, and Komodo Health, a leader in healthcare technology and data-driven insights, are partnering to further enrich Helix’s clinico-genomic datasets within the Helix…
Continue Reading
This systematic review explores machine learning (ML) applications in surgical motion analysis using non-optical motion tracking systems (NOMTS), alone or with optical methods. It investigates objectives, experimental designs, model effectiveness, and future research directions….
Continue Reading
Traditional disease classification models often disregard the clinical significance of misclassifications and lack interpretability. To overcome these challenges, we propose a hierarchical prototypical decision tree (HPDT) for skin lesion classification. HPDT combines prototypical networks…
Continue Reading
Intensive longitudinal sampling enhances subjective data collection by capturing real-time, dynamic inputs in natural settings, complementing traditional methods. This study evaluates the feasibility of using daily self-reported app data to assess clinical improvement among…
Continue Reading
What You Should Know:
– Arcadia, a healthcare data platform, announced a new AI-driven precision medicine solution designed to identify patients with undiagnosed or misdiagnosed conditions who are at risk of poor health outcomes.
– The…
Continue Reading
