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CASIA-EXO: A novel exoskeleton for adaptive motor learning in post-stroke rehabilitation

Researchers developed a novel exoskeleton CASIA-EXO with subject-adaptive control, enabling efficient motor relearning and enhancing neural plasticity. The system uses intention-based trajectory planning and performance-based intervention adaptation to individualize training trajectories and intervention levels.

SourceIEEE Chinese Association of Automation·JournalIEEE/CAA Journal of Automatica Sinica·TypeExperimental study·DateNov 11, 2025

Chinese Neurosurgical Journal study explores AI tool to predict medulloblastoma subtypes and genetic risks with high accuracy

A new study published in the Chinese Neurosurgical Journal explores an AI tool that identifies medulloblastoma subgroups based on magnetic resonance imaging scans. The model achieved impressive accuracy in predicting molecular subtypes and genetic risk factors, with 91% accuracy for TP53 mutations and 87% accuracy for chromosome 11 loss.

SourceChinese Neurosurgical Journal·JournalChinese Neurosurgical Journal·TypeImaging analysis·DateNov 5, 2025

Engineering a clearer view of bone healing

A new project led by University of Delaware engineer Michael Hast aims to develop radiation-free imaging techniques that identify problems with bone healing sooner. The team uses 3D computational models and recent advances in magnetic resonance imaging (MRI) to estimate the strength of a healing bone and simulate real-world stresses.

Chinese Neurosurgical Journal Study unveils absorbable skull device that speeds healing

A new, fully degradable cranial clamp made from poly-L-lactic acid has been developed to address traditional fixation system drawbacks. The study compared its performance to Aesculap CranioFix through laboratory tests and a clinical trial involving 90 patients, showing improved safety and healing outcomes.

SourceChinese Neurosurgical Journal·JournalChinese Neurosurgical Journal·TypeRandomized controlled/clinical trial·DateNov 4, 2025

Researchers pose five guiding questions to improve the use of artificial intelligence in physicians’ clinical decision-making

A research team provides a framework to support doctors in their patient care while ensuring AI doesn't undermine their expertise. The framework addresses key issues like timing, trust, and over-reliance on AI.

SourceUniversity of California - Los Angeles Health Sciences·JournalJournal of the American Medical Informatics Association·TypeCommentary/editorial·DateOct 29, 2025

DGIST and Stanford University jointly develop one-shot federated learning AI technique combining privacy protection and efficiency

A new one-shot federated learning AI technique has been developed to combine privacy protection and efficiency in medical image analysis. The technique increases training data diversity, reduces overfitting, and eliminates unnecessary computation, achieving higher accuracy with fewer computations.

A better way to monitor drug therapy at home

Researchers developed DNA-based signaling cascades to report and quantify molecule concentrations in blood, enabling point-of-care devices for optimizing treatment. The breakthrough aids efforts to build affordable and portable devices for monitoring medication levels at home.

SourceUniversity of Montreal·JournalJournal of the American Chemical Society·DateOct 16, 2025

New research shows a tiny, regenerative worm could change our understanding of healing

New research from the Stowers Institute for Medical Research reveals planarian stem cells ignore their nearest neighbors and respond to signals further away in the body. This discovery may help explain the flatworm's extraordinary ability to regenerate and offer clues for developing new ways to replace or repair tissues in humans.

SourceStowers Institute for Medical Research·JournalCell Reports·TypeExperimental study·DateOct 15, 2025

"A DNA search engine"

The MetaGraph digital tool enables fast and accurate searching of vast DNA sequence datasets, streamlining genetic research. By indexing raw data with metadata, researchers can identify specific mutations and rare hereditary diseases in patients, accelerating discoveries in fields like antibiotic resistance.

SourceETH Zurich·JournalNature·DateOct 9, 2025

Back to the future: Is light-speed analog computing on the horizon?

Scientists have developed a programmable electronic circuit that harnesses high-frequency electromagnetic waves to perform complex parallel processing at light-speed. This breakthrough has the potential to power next-generation wireless networks, real-time radar, and advanced monitoring in various industries.

SourceUniversity of Technology Sydney·JournalNature Communications·TypeComputational simulation/modeling·DateOct 6, 2025

A novel electrowetting on dielectric-based palm-sized printer for fabrication of devices

Researchers developed a palm-sized, portable multimaterial printer using electrowetting on dielectric technology to print conductive and insulating liquids. The printer allows for on-site fabrication of origami devices with customizable shapes and functions, enabling site-specific sensor deployment in resource-limited environments.

SourceShibaura Institute of Technology·JournalACS Applied Materials & Interfaces·TypeExperimental study·DateSep 22, 2025

Bioelectrical impedance technology shows promise for real-time, non-invasive monitoring of neurological diseases

Researchers are exploring bioelectrical impedance technology to monitor neurological diseases like stroke, epilepsy, and brain tumors. The technology captures subtle changes linked to cellular metabolism and pathological processes, enabling clinicians to track disease progression with minimal risk.

FAU/Baptist Health AI spine model could transform lower back pain treatment

Researchers developed a fully automated finite element analysis pipeline to transform spine diagnostics and personalized treatment planning. The new approach enables rapid, patient-specific simulations that support preoperative planning, spinal implant optimization, and early detection of degenerative spine conditions.

SourceFlorida Atlantic University·JournalWorld Neurosurgery·TypeComputational simulation/modeling·DateSep 17, 2025

Precision targeting of the centromedian nucleus in drug-resistant epilepsy highlighted in brain network disorders

Researchers developed new methods to accurately target the centromedian nucleus for deep brain stimulation in patients with drug-resistant epilepsy. Advanced imaging techniques, such as high-resolution MRI and DTI tractography, improve targeting accuracy by identifying specific brain pathways and neural firing patterns.

SourceBrain Network Disorders Editorial Office·JournalBrain Network Disorders·TypeLiterature review·DateSep 16, 2025

SeoulTech develop hybrid polymer-CNT electrodes for safer brain-machine interfaces

Researchers at Seoul National University of Science and Technology developed a microelectrode with three-dimensional carbon nanotubes that efficiently conduct electricity while being soft like tissue. The arrays demonstrated stable insertion in brain tissues, precise recording of visual responses, and reduced inflammatory responses.

SourceSeoul National University of Science & Technology·JournalAdvanced Functional Materials·TypeExperimental study·DateSep 3, 2025

Wireless implant network could transform cardiac, neurological care

The system uses magnetoelectric power-transfer technology to deliver precise electrical stimulation to organs like the heart and spinal cord. The more devices in the network, the more efficient it is, offering a less invasive alternative to traditional implantable medical devices. This technology has potential for treating conditions s...

SourceRice University·JournalNature Biomedical Engineering·TypeExperimental study·DateAug 28, 2025

Exploring coordinated tissue growth in embryos based on control theory

Researchers from Japan and USA discover midline tissues use formation control to grow harmoniously, with the notochord leading elongation and adjacent tissues migrating together through fibroblast growth factor gradients and cell adhesion. Computer simulations confirm this mechanism is essential for synchronized tissue development.

SourceInstitute of Science Tokyo·JournalScience Advances·TypeExperimental study·DateAug 26, 2025

Data-driven designs to improve prosthetic legs

Researchers have developed a data-driven way to fit prosthetic legs that could lead to better fitting prosthetics in less time and at a lower cost. The new technology generates basic design recommendations instantly and has been shown to be as comfortable on average as those created by highly skilled prosthetists.

SourceUniversity of Southampton·JournalJMIR Rehabilitation and Assistive Technologies·DateAug 21, 2025

Scaffold-free cartilage produced using embryonic-derived mesenchymal stem cell spheroids

A new study demonstrates the potential to produce cellular spheroids from clinically relevant embryonic stem cells to generate scaffold-free chondrogenic or osteochondrogenic graft tissues. The researchers successfully cultured ES-MSC cellular spheroids, which matured into neocartilage tissues expressing cartilage-associated genes.

SourceMary Ann Liebert, Inc./Genetic Engineering News·JournalTissue Engineering Part A·TypeExperimental study·DateAug 13, 2025