Results 111 to 120 of about 12,025 (251)

Multi-country and intersectoral assessment of cluster congruence between pipelines for genomics surveillance of foodborne pathogens. [PDF]

Nat Commun
Mixão V, Pinto M, Brendebach H, Sobral D, Dourado Santos J, Radomski N, Majgaard Uldall AS, Bomba A, Pietsch M, Bucciacchio A, de Ruvo A, Castelli P, Iwan E, Simon S, Coipan CE, Linde J, Petrovska L, Kaas RS, Grimstrup Joensen K, Holtsmark Nielsen S, Kiil K, Lagesen K, Di Pasquale A, Gomes JP, Deneke C, Tausch SH, Borges V.   +26 more
europepmc   +1 more source

Machine‐Learning‐Aided Advanced Electrochemical Biosensors

Advanced Materials, EarlyView.
Electrochemical biosensors are highly sensitive, portable, and versatile. Advanced nanomaterials enhance their performance, while machine learning (ML) improves data analysis, minimizes interference, and optimizes sensor design. Despite progress in both fields, their combined potential in diagnostics remains underexplored.
Andrei Bocan, Roozbeh Siavash Moakhar, Carolina del Real Mata, Max Petkun, Tristan De Iure‐Grimmel, Sripadh Guptha Yedire, Hamed Shieh, Arash Khorrami Jahromi, Sahar Sadat Mahshid, Sara Mahshid   +9 more
wiley   +1 more source

Bias in vital signs? Machine learning models can learn patients' race or ethnicity from the values of vital signs alone. [PDF]

BMJ Health Care Inform
Velichkovska B, Gjoreski H, Denkovski D, Kalendar M, Mullan ID, Wawira Gichoya J, Martinez N, Celi L, Osmani V.   +8 more
europepmc   +1 more source

Advanced Air Electrodes for Reversible Protonic Ceramic Electrochemical Cells: A Comprehensive Review

Advanced Materials, EarlyView.
Reversible protonic ceramic electrochemical cells (R‐PCECs) face challenges from sluggish and unstable oxygen reduction and evolution reactions in the air electrode. This review discusses recent progress in triple‐conducting air electrodes, emphasizing mechanisms, performance factors, and design strategies, offering guidance for creating efficient and ...
Xi Chen, Yeshu Tan, Zheng Li, Tong Liu, Yinghao Song, Shuo Zhai, Na Yu, Zongping Shao, Meng Ni   +8 more
wiley   +1 more source

The Role of Algorithms in Molecular Tumour Boards-Managing the Gap Between Research and Clinic in Precision Medicine. [PDF]

Sociol Health Illn
Hofmann D, Esposito E.
europepmc   +1 more source

Photonic Nanomaterials for Wearable Health Solutions

Advanced Materials, EarlyView.
This review discusses the fundamentals and applications of photonic nanomaterials in wearable health technologies. It covers light‐matter interactions, synthesis, and functionalization strategies, device assembly, and sensing capabilities. Applications include skin patches and contact lenses for diagnostics and therapy. Future perspectives emphasize AI‐
Taewoong Park, Jung Woo Leem, Young L. Kim, Chi Hwan Lee   +3 more
wiley   +1 more source

Associations of DNA Methylation Algorithms of Aging With Cardiovascular Disease and Mortality Risk Among US Older Adults. [PDF]

J Am Heart Assoc
Cui X, Sun S, Zhang H, Gong Y, Hao D, Xu Y, Ding C, Wang J, An T, Liu J, Du J, Li X.   +11 more
europepmc   +1 more source

Mechanochemistry for Metal–Organic Frameworks and Covalent–Organic Frameworks (MOFs, COFs): Methods, Materials, and Mechanisms

Advanced Materials, EarlyView.
An overview is provided of the mechanochemistry of metal‐organic frameworks (MOFs) and covalent‐organic frameworks (COFs), highlighting opportunities and strategies for discovery, synthesis and reactivity studies of these materials. Mechanistic studies and comparisons to the mechanochemistry of organic solids are outlined, showcasing how advances in ...
Joseph M. Marrett, Farshid Effaty, Xavier Ottenwaelder, Tomislav Friščić   +3 more
wiley   +1 more source

Evaluating language model embeddings for Parkinson's disease cohort harmonization using a novel manually curated variable mapping schema. [PDF]

Sci Rep
Salimi Y, Adams T, Ay MC, Balabin H, Jacobs M, Hofmann-Apitius M.   +5 more
europepmc   +1 more source

Superior Adhesion of Monolayer Amorphous Carbon to Copper

Advanced Materials, EarlyView.
The adhesion energy of monolayer amorphous carbon on copper substrate is 85 J m−2, 13 times higher than that of graphene due to covalent‐like bonding between the sp2 carbon structure to copper. X‐ray photoelectron spectroscopy (XPS), near‐edge X‐ray absorption (NEXAFS), and (density functional theory) DFT calculations are used to elucidate the ...
Hongji Zhang, Artem K. Grebenko, Konstantin V. Iakoubovskii, Hanning Zhang, Ruslan Yamaletdinov, Anna Makarova, Alexander Fedorov, Rejaul SK, Ranjith Shivajirao, Zheng Jue Tong, Sergey Grebenchuk, Ugur Karadeniz, Lu Shi, Denis V. Vyalikh, Ya He, Andrei Starkov, Alena A. Alekseeva, Chuan Chu Tee, Carlo Mendoza Orofeo, Junhao Lin, Kazutomo Suenaga, Michel Bosman, Maciej Koperski, Bent Weber, Kostya S. Novoselov, Oleg V. Yazyev, Chee‐Tat Toh, Barbaros Özyilmaz   +27 more
wiley   +1 more source