ABME

Life-support machines help sustain patients with severe heart or lung failure by transferring oxygen into the blood through specialized membranes, a process that typically requires a reliable supply of supplemental oxygen and may strain healthcare resources in settings where supplies are limited.

Researchers explored whether adjusting the pressure difference between gas and blood on opposite sides of the membrane could allow life-support machines to maintain adequate blood oxygenation using ambient air alone. They combined theoretical analysis, computational simulations, and experimental testing to evaluate the method under varying pressure and flow conditions. Simulations indicated that sufficient oxygen transfer could be achieved under certain conditions, while experimental results suggested that the effects of these adjustments depended on the ratio of gas flow to blood flow.

Further research could establish whether this approach can be safely translated into clinical practice, potentially offering greater flexibility in life-support systems by reducing dependence on supplemental oxygen.

𝗥𝗲𝗮𝗱 𝗺𝗼𝗿𝗲: link.springer.com/article/10.100…

𝗦𝘁𝘂𝗱𝘆: A Pressure Difference-Based Strategy for Blood Oxygen Control in Membrane Oxygenators: Reduced Modeling, Computational Simulation, and Exploratory In Vivo Evaluation

𝗔𝘂𝘁𝗵𝗼𝗿𝘀: Shiwei Wang, Shihai Chen, Xirong Liao, Junwei Jiang, Pan Yang, Zhiyong Huang, Xiaoyu Li, Jiang Zhang, Daidi Zhong, and Jie Hou

@CQU1929
@CQMU1956
@2024_HUST

𝗦𝘂𝗯𝗺𝗶𝘁 𝘆𝗼𝘂𝗿 𝗺𝗮𝗻𝘂𝘀𝗰𝗿𝗶𝗽𝘁: link.springer.com/journal/10439

For people with knee osteoarthritis, specialized insoles and footwear may offer a nonsurgical way to relieve pain and improve mobility, but studies have produced conflicting results about their effectiveness.

To clarify their therapeutic value, researchers conducted a systematic review and meta-analysis of 92 studies examining how different foot orthoses affect knee biomechanics, pain, physical function, and walking speed. Key findings included:

🔹 Lateral wedge insoles (5°–10°) offered the most consistent biomechanical and clinical benefits, including reduced knee loading and improvements in pain, function, and walking speed.
🔹 Ankle-foot orthoses and AposTherapy shoes demonstrated favorable outcomes, although further investigation is needed to establish their effectiveness.

Identifying the most promising interventions could help guide conservative treatment decisions while directing future research toward unresolved questions about their long-term impact.

𝗥𝗲𝗮𝗱 𝗺𝗼𝗿𝗲: link.springer.com/article/10.100…

𝗥𝗲𝘃𝗶𝗲𝘄: Immediate and Mid-Long-Term Effects of Foot Orthoses on Gait Biomechanics and Clinical Characteristics in Medial Knee Osteoarthritis: A Systematic Review and Meta-Analysis

𝗔𝘂𝘁𝗵𝗼𝗿𝘀: Ziang Jiang, Michelle Gröbli, Seyyed Hamed Hosseini Nasab, William R. Taylor, and Qiang Zhang

@ETH
@ETH_en

𝗦𝘂𝗯𝗺𝗶𝘁 𝘆𝗼𝘂𝗿 𝗺𝗮𝗻𝘂𝘀𝗰𝗿𝗶𝗽𝘁: link.springer.com/journal/10439

Swallowing difficulties affect approximately 42% of patients following an acute stroke, yet access to timely, reliable screening for this condition remains limited, particularly in healthcare settings with fewer resources.

Researchers conducted a scoping review to explore whether AI and data science could help overcome these challenges by complementing conventional methods for detecting post-stroke dysphagia. The authors surveyed evidence on bedside assessment tools, voice-based biomarkers, and computational models for identifying swallowing impairment and aspiration risk. While emerging approaches show promising diagnostic performance, limitations involving small datasets, insufficient external validation, and barriers to clinical implementation underscore the need for further research.

By identifying key evidence gaps, this analysis could help guide the clinical adoption of emerging technologies for detecting post-stroke dysphagia and establish priorities for future research.

𝗥𝗲𝗮𝗱 𝗺𝗼𝗿𝗲: link.springer.com/article/10.100…

𝗥𝗲𝘃𝗶𝗲𝘄: Screening and Evaluation of Post-Stroke Dysphagia: Insights from Neurology, Artificial Intelligence and Data Science—A Scoping Review

𝗔𝘂𝘁𝗵𝗼𝗿𝘀: Joao Brainer Clares de Andrade, Sarah Negreiros de Carvalho Leite, Alessandra Braga Cruz Guedes de Morais, Thiago S. Carneiro, Priscila Correia Fernandes, and Dimas Irion Alves

@unifesp
@hosp_einstein
@UF
@UFMedicine

𝗦𝘂𝗯𝗺𝗶𝘁 𝘆𝗼𝘂𝗿 𝗺𝗮𝗻𝘂𝘀𝗰𝗿𝗶𝗽𝘁: link.springer.com/journal/10439

Osteoporosis can develop without noticeable symptoms, leaving many people unaware of declining bone density until a fracture occurs.

Seeking a more accessible approach to bone health assessment, researchers evaluated a method combining near-infrared light measurements with a simulation-based machine learning model. They directed laser light at nine artificial bone samples representing different density levels, recording how light scattered in three directions. Using these measurements, the model predicted bone density with a strong correlation to reference values, providing experimental validation for the proposed technique.

With further refinement and testing in human subjects, this optical approach could support the development of screening tools that enable earlier identification of osteoporosis, particularly in settings with limited access to conventional imaging.

𝗥𝗲𝗮𝗱 𝗺𝗼𝗿𝗲: link.springer.com/article/10.100…

𝗦𝘁𝘂𝗱𝘆: Multidirectional Optical Bone Densitometry Using a Simulation-Based Machine Learning Model: Experimental Validation with Bone Phantoms

𝗔𝘂𝘁𝗵𝗼𝗿𝘀: Shigeo M. Tanaka and Kaito Yoshikawa

@KanazawaUniv_O

𝗦𝘂𝗯𝗺𝗶𝘁 𝘆𝗼𝘂𝗿 𝗺𝗮𝗻𝘂𝘀𝗰𝗿𝗶𝗽𝘁: link.springer.com/journal/10439

The Annals of Biomedical Engineering (ABME) is pleased to announce the recipients of its 𝟮𝟬𝟮𝟲 𝗕𝗲𝘀𝘁 𝗣𝗮𝗽𝗲𝗿 𝗔𝘄𝗮𝗿𝗱 – 𝗥𝗲𝘃𝗶𝗲𝘄 𝗔𝗿𝘁𝗶𝗰𝗹𝗲: Linda Carpenedo, Dominika Ignasiak, Robin Remus, and Luigi La Barbera for their paper, “Advances in Musculoskeletal Modeling of the Thoraco-Lumbar Spine: A Comprehensive Systematic Review.”

This systematic review examines advances in computational musculoskeletal modeling of the thoracolumbar spine, evaluating three principal approaches: multibody, finite element, and coupled models.

The authors identify considerable variation in modeling practices, particularly in the representation of muscular anatomy, alongside persistent challenges in model validation due to limited experimental data. The review also highlights opportunities to advance spine biomechanics through simulations of more complex functional tasks, personalized anatomical and mechanical properties, and greater adoption of open science practices to improve reproducibility and collaboration.

ABME congratulates the authors and commends their contribution to the field of spine biomechanics. Their work exemplifies the journal’s mission to publish innovative research that advances biomedical engineering and improves human health.

𝗥𝗲𝗮𝗱 𝗺𝗼𝗿𝗲: link.springer.com/article/10.100…

@polimi
@ETH
@ruhrunibochum

𝗦𝘂𝗯𝗺𝗶𝘁 𝘆𝗼𝘂𝗿 𝗺𝗮𝗻𝘂𝘀𝗰𝗿𝗶𝗽𝘁: link.springer.com/journal/10439