Background: Most noninvasive blood glucose technologies, especially wearable photoplethysmography devices, require multiple calibrations and are often limited to narrow cohorts such as unmedicated or mild cases. We assess whether a single pretest once per month can meet clinical accuracy while broadening applicability through cohort-specific models.Methods: We develop models for three groups: (i) individuals not using… Continue reading Improving non-invasive #glucose estimation with monthly calibrated #photoplethysmography and implicit #HbA1c
Category: Tech
#Wearable -derived heart rate variability and sleep monitoring as predictors of #mood episodes in bipolar disorder: a case report
Background: Bipolar disorder is a chronic psychiatric condition characterized by alternating episodes of mania and depression, and the prediction and management of mood episodes remain significant clinical challenges. Traditional assessments of mood states have largely relied on subjective methods, such as clinical interviews and self-report questionnaires, which present limitations in terms of early detection and… Continue reading #Wearable -derived heart rate variability and sleep monitoring as predictors of #mood episodes in bipolar disorder: a case report
#Hydrogel –elastomer-based conductive nanomembranes for soft #bioelectronics
Conformal integration of electronics with soft, irregular organ topologies remains challenging, as tissue-like platforms with bulky dimensions ranging from a few millimetres to several hundred micrometres result in incomplete signal acquisition and chronic tissue compression. Although ultrathin nanoscale devices have recently been developed to address these challenges, they involve complex and delicate handling processes that… Continue reading #Hydrogel –elastomer-based conductive nanomembranes for soft #bioelectronics
Associations of #Wearable- Measured #Sleep and #Physical Activity With #Memory Performance in Older Adults: Cross-Sectional Study With Actigraphy and MRI
Background: Cognitive decline is a common aspect of aging, and identifying modifiable lifestyle factors-such as physical activity and sleep-are crucial for promoting healthy brain aging. While both are individually linked to cognition, few studies have simultaneously assessed their independent and combined effects using objective wearable-based data, particularly in older Asian populations.Objective: This study aimed to… Continue reading Associations of #Wearable- Measured #Sleep and #Physical Activity With #Memory Performance in Older Adults: Cross-Sectional Study With Actigraphy and MRI
#Subretinal Photovoltaic Implant to Restore #Vision in Geographic Atrophy Due to AMD
Geographic atrophy due to age-related macular degeneration (AMD) is the leading cause of irreversible blindness and affects more than 5 million persons worldwide. No therapies to restore vision in such persons currently exist. The photovoltaic retina implant microarray (PRIMA) system combines a subretinal photovoltaic implant and glasses that project near-infrared light to the implant in… Continue reading #Subretinal Photovoltaic Implant to Restore #Vision in Geographic Atrophy Due to AMD
AI in Hand #Surgery: Assessing Large Language Models in the Classification and Management of #Hand Injuries
AbstractBackground: OpenAI's ChatGPT (San Francisco, CA, USA) and Google's Gemini (Mountain View, CA, USA) are two large language models that show promise in improving and expediting medical decision making in hand surgery. Evaluating the applications of these models within the field of hand surgery is warranted. This study aims to evaluate ChatGPT-4 and Gemini in… Continue reading AI in Hand #Surgery: Assessing Large Language Models in the Classification and Management of #Hand Injuries
The Future of #Artificial #Intelligence in Medical Education and Continuing #Medical Education
In this article, we explore the transformative potential of artificial intelligence (AI) in medical education and continuing medical education. We discuss the rapid evolution of AI technology, particularly generative AI and large language models, and their implications for teaching and learning. We emphasize the importance of AI literacy, ethical considerations, and evidence-based approaches to integrating… Continue reading The Future of #Artificial #Intelligence in Medical Education and Continuing #Medical Education
#Artificial #Intelligence and #Machine #Learning Applications in #Liver Disease
AbstractArtificial intelligence and machine learning are transforming hepatology by integrating clinical, laboratory, imaging, and wearable data for earlier diagnosis, risk prediction, and patient management. These technologies enable personalized care and noninvasive monitoring across metabolic dysfunction-associated steatotic liver disease, cirrhosis, hepatitis C, liver transplantation, and hepatocellular carcinoma. Ongoing advances in digital health and interpretability will enhance… Continue reading #Artificial #Intelligence and #Machine #Learning Applications in #Liver Disease
#Artificial #intelligence in #myeloid malignancies: Clinical applications of machine learning in myelodysplastic syndromes and acute myeloid #Leukemia
This review summarizes applications of machine learning (ML) in acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS), spanning diagnosis, prognostication, treatment prediction, and research tools. In diagnostics, deep learning applied to bone marrow smears, peripheral blood films, and flow cytometry has shown high sensitivity and specificity, outperforming conventional methods. ML-driven unsupervised clustering and consensus classification… Continue reading #Artificial #intelligence in #myeloid malignancies: Clinical applications of machine learning in myelodysplastic syndromes and acute myeloid #Leukemia
2 Medical News 