EurekAlert! News by Subject: Tech & Engineering - Article Highlights

Article Highlights

Updates every hour. Last Updated: 22-Oct-2026 21:16 ET (23-Oct-2026 01:16 GMT/UTC)

"Restoring the joy of eating": KIST overcomes dysphagia through 3D food printing technology

National Research Council of Science & Technology

The Natural Product Institute at the Gangneung Institute of the Korea Institute of Science and Technology (KIST, President Oh Sang-Rok) has long conducted research leveraging natural-product-based core technologies to improve public quality of life. Building on this research foundation, a team led by Dr. Koo Song Yi, Senior Researcher at the Center for Natural Product Systems Biology, has developed a 3D food printing-based manufacturing technology for customized medi-foods. To address the mealtime challenges faced by dysphagia patients, the team engineered a composite ink for 3D printing that allows precise control of physical properties tailored to each patient's individual swallowing ability.

Journal: Food Hydrocolloids
Funder: Ministry of Science and ICT

Can one screening strategy find many cancers? Artificial Intelligence is bringing the idea closer

Intelligent Medicine

What if cancer screening no longer had to look for one cancer at a time? Cancer screening has long followed a one-organ-at-a-time model: mammography for breast cancer, colonoscopy for colorectal cancer, low-dose CT for lung cancer, and cervical testing for cervical cancer. These programs save lives, but they also leave gaps. Many cancers still lack routine screening, while patients often face multiple appointments, tests, and follow-up procedures.

Journal: Intelligent Medicine
Funder: National Science and Technology Major Project, National Key Research and Development Program of China, National Natural Science Foundation of China, Tianjin Science and Technology Committee Foundation, Tianjin Key Medical Discipline (Specialty) Construction Project

Unlocking new quantum architectures

University of Chicago

In a paper published in Physical Review Letters, a team from the Pritzker School of Molecular Engineering (PME) found that non-Abelian systems could have a noise threshold – an ability to tolerate quantum-scale interference – that is about 38% higher than comparable Abelian systems for a particular type of noise.

Journal: Physical Review Letters

Bringing general practice education earlier: expert consensus provides guidance for teaching clinical medical students outside GP-targeted programs

Society of China University Journals

As China continues to advance the Healthy China strategy and a tiered healthcare delivery system, general practice education is becoming relevant not only to students in GP-targeted training programs, but to all clinical medical students. A newly published expert consensus in the Chinese Journal of Medical Education Research focuses on general practice teaching for clinical medical students who are not enrolled in GP-oriented programs. It addresses common challenges such as unclear training objectives, weak practical teaching, and inconsistent faculty and course evaluation systems. The consensus recommends a staged pathway of early exposure, theoretical learning, and practice-based training, calls for Introduction to General Practice to be offered as a required course, and proposes a comprehensive assessment framework covering knowledge, skills, and professional values. It aims to provide a reference for medical schools seeking to standardize general practice education at the institutional education stage.

Shanxi Normal University’s Chen Wenwen team makes significant progress in efficient green synthesis – achieving high-selectivity synthesis of azoxyarenes by modulating CeO₂ oxygen vacancies and confinement effects

Tsinghua University Press

Recently, the research team led by Associate Professor Chen Wenwen from the College of Chemistry and Chemical Engineering at Shanxi Normal University has made a breakthrough in the field of selective catalytic reduction of nitroarenes.

Journal: Nano Research

[Research Article] Advancing regional water quality modelling: integrating spatial machine learning with large-scale catchment data

A new study published in Big Earth Data develops explainable Random Forest models to predict stream total nitrogen (TN) and total phosphorus (TP) concentrations using upstream catchment characteristics derived from openly accessible environmental datasets. The results show that the models provide robust predictions for TN, while reduced and spatial covariates help mitigate overfitting and improve model interpretability, demonstrating the potential of explainable machine learning for regional nutrient monitoring.

Journal: Big Earth Data

FAMU-FSU College of Engineering researchers find factors that cause respiratory impacts after flooding

Florida State University

Researchers at the FAMU-FSU College of Engineering and Florida State University’s Resilient Infrastructure and Disaster Response Center have identified the factors that are most likely to create hazardous respiratory conditions inside homes after flooding.

Journal: Journal of Cleaner Production
Funder: National Academies of Sciences, Engineering, and Medicine

Study reveals a shared logic of sensory processing across vertebrate brains

Koç University

A study led by Prof. Emre Yakşi of the Norwegian University of Science and Technology, who is also a visiting faculty member at Koç University, reveals how the zebrafish forebrain organizes and integrates visual and vibrational information. The findings point to a shared computational principle of sensory processing across vertebrate brains.

Journal: Nature Communications

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