Results 151 to 160 of about 447,257 (306)

Relationship Between Hospital Volume and Outcomes of Minimally Invasive Esophagectomy for Esophageal Cancer: Analysis of the National Clinical Database in Japan

Annals of Gastroenterological Surgery, EarlyView.
According to multivariable analysis conducted using a hierarchical logistic regression model, using VHH as the reference group, the odds ratios for mortality by hospital volume category were as follows: VLH, 2.70 (p < 0.0001); LH, 1.72 (p = 0.052); MH, 1.70 (p = 0.034); and HH, 1.43 (p = 0.173).
Soji Ozawa, Hiraku Kumamaru, Yuko Kitagawa, Kazuo Koyanagi, Junya Oguma, Harushi Udagawa, Hiroaki Miyata, Yasushi Toh, Hisahiro Matsubara   +8 more
wiley   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

Advanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz, Zakarya Al‐Shaebi, Omer Aydin   +2 more
wiley   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

A Complex Case of Histoplasmosis in an Immunocompromised Patient: Diagnostic Challenges, Multidisciplinary Collaboration, and Environmental Factors. [PDF]

Cureus, 2023
Sabzanov S, Ganz M, Mishail B, Yusupov D, Fried P, Jacobs M, Miller D.   +6 more
europepmc   +1 more source

Guiding Principles for a Successful Multidisciplinary Research Collaboration [PDF]

Future Science OA, 2015
Lustig, Lindsay C, Ponzielli, Romina, Tang, Peter S, Sathiamoorthy, Sarmitha, Inamoto, Ichiro, Shin, Jumi A, Penn, Linda Z, Chan, Warren CW   +7 more
openaire   +2 more sources

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

Advanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang, Ming Dong, Rongrong Bao, Caofeng Pan   +3 more
wiley   +1 more source

Multidisciplinary and collaborative questionnaire activity

Ethnologia Fennica
Anna Kirveennummi 2023. Kutsu osallistua tieteelliseen toimintaan. Etnografisia näkökulmia monitieteisen kyselytoiminnan yhteistyöhön ja käytäntöihin. [An invitation to participate in scientific activity: ethnographic perspectives on collaboration practices in multidisciplinary questionnaire activity.] University of Turku: School of History, Culture ...
openaire   +3 more sources

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Multidisciplinary collaborations in pharmaceutical innovation

, 2010
Multidisciplinary collaborations are increasingly predominant in innovative industries facing complex challenges. Yet, too frequently managers fail to identify the appropriate situations in which collaborations can be efficient, as their dynamics are not fully investigated.
Saur-Amaral, I. (Irina), Kofinas, A. (Alexander)   +1 more
openaire  

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source