Biosensors Move Cancer Detection Toward the Point of Care, Review Finds
A new review in Discover Sensors surveys how electrochemical, optical, microfluidic and nanomaterial biosensors are being engineered to detect cancer ...
Tag: Machine Learning
CT-based habitat radiomics flags heavy nodal spread in thyroid cancer, with caveats
A retrospective two-centre study found that a habitat radiomic model based on contrast-enhanced CT distinguished heavy from light central nodal ...
Cumulative Cholesterol-HDL-Glucose Index Predicts Cardiometabolic Multimorbidity in MASLD
A nationwide Chinese cohort study links higher cumulative CHG index exposure and persistently high change patterns to increased risk of ...
Pupil size reveals emotional arousal once screen brightness is mathematically removed
A new model that estimates and subtracts the light-driven component of pupil size turned an almost useless arousal signal into ...
Digital grids need social science as much as engineering, researchers argue
Researchers argue that digitalizing and decentralizing electricity grids is a socio-technical transition requiring interdisciplinary study of technology, labor and grid ...
Corneal digital twins move from simplified shapes to patient-specific simulations
A new review traces how corneal finite element models evolved from idealized shapes into patient-specific digital twins that now inform ...
Machine learning maps which Ghanaian research fields are bleeding talent
A bibliometric and machine learning analysis of 38,760 Ghanaian publication records from 2007 to 2020 finds that 45 percent of ...
Prediction Models for Dialysis Peritonitis Fall Short of Clinical Use, Review Finds
A systematic review of seven prediction models for outcomes after peritoneal dialysis-related peritonitis finds none ready for routine clinical use.
Chemometrics turns biosensors from simple signal transducers into intelligent analytical systems
A new perspective argues that chemometric modeling should be built into biosensor architecture, enabling selectivity, drift compensation, multiplexing and lower ...
Cell-free DNA liquid biopsy meets machine learning in cardiovascular disease review
A new review in Clinical Epigenetics outlines how cell-free DNA liquid biopsy and machine learning could be combined for cardiovascular ...
Machine learning pinpoints early mobilisation as key to same-day joint replacement discharge
A machine learning analysis of 3,025 joint replacement patients on a non-selective enhanced recovery pathway found that time to first ...
Adaptive diffusion model sharpens multi-agent trajectory prediction for autonomous driving
A new conditional diffusion framework called CDJMP predicts multi-agent vehicle trajectories with state-of-the-art accuracy while cutting inference time to under ...
Engineered Microbes Move Closer to Replacing Plant Oils as the Source of a Valued Anti-Inflammatory Fatty Acid
A new review maps how engineered fungi, yeasts, and microalgae could displace plant seed oils as the dominant source of ...
Digital twin prototype watches household water quality, purifies it and bills you in real time
A pilot-scale digital twin framework in Dhaka combined IoT sensors, machine learning forecasting, RO and UVC purification and automated billing ...
Most COVID-19 AI models never made it past internal validation, review finds
A systematic review of 57 COVID-19 AI studies found that 80.7 percent relied only on internal validation, exposing a persistent ...
AI and IoT tools for COPD detection and monitoring reviewed across 32 studies
A systematic review of 32 peer-reviewed studies finds that AI and IoT technologies show promise for COPD detection, exacerbation prediction ...
Polymer Templates Turn Metal Oxide Gas Sensors Into Smarter, More Reliable Chips
A new review describes how self-assembled and lithographically patterned polymer templates convert metal oxide sensing films into ordered three-dimensional nanostructures ...
Wearable edge-AI device detects epileptic seizures and texts caregivers a map link in under half a second
A low-cost wrist wearable running an optimized random forest model on-device detected simulated convulsive and non-convulsive seizures with high sensitivity ...
Offline Social and Civic Engagement Linked to Lower Internet Addiction in Chinese Teens
A cross-sectional study of 7,121 Chinese secondary school students found that higher offline social and civic engagement, at both individual ...
Hospital AI platform lifts brain bleed detection accuracy in three-month real-world trial
A three-month clinical deployment in Oslo showed that radiologist feedback through the NeoMedSys platform raised VIOLA-AI's brain bleed detection sensitivity ...
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