Results 121 to 130 of about 371 (178)

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Endoscopic necrosectomy is safe in patients with pancreatic walled-off necrosis: Insights from a tertiary center study of 880 procedures

Endoscopy International Open
Julie Falkebo Jensen, Joy Stinne Timmner, Amer Hadi, Erik Feldager, August Pilegaard Prahm, Mohamed Ebrahim, Gitte Aabye Olsen, Stine Roug, Srdan Novovic, John Gásdal Karstensen   +9 more
doaj   +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

Real-world effectiveness and safety of 1L polyethylene glycol and ascorbic acid for bowel preparation in patients aged 80 years or older

Endoscopy International Open
Salvador Machlab, Vicente Lorenzo-Zúñiga, Miguel Angel Pantaleon, Fernando Sábado, Cátia Arieira, Elena Pérez Arellano, José Cotter, David Carral, Carmen Turbí Disla, Ricardo Gorjão, Jose Miguel Esteban, Sarbelio Rodriguez   +11 more
doaj   +1 more source

Toward Environmentally Friendly Hydrogel‐Based Flexible Intelligent Sensor Systems

Advanced Intelligent Discovery, EarlyView.
This review summarizes environmentally and biologically friendly hydrogel‐based flexible sensor systems focusing on physical, chemical, and physiological sensors. Furthermore, device concepts moving forward for the practical application are discussed about wireless integration, the interface between hydrogel and dry electronics, automatic data analysis
Sudipta Kumar Sarkar, Kuniharu Takei
wiley   +1 more source

Biliary stents reshape the bile microbiome in the absence of cholangitis

Endoscopy International Open
Atsuto Kayashima, Seiichiro Fukuhara, Kentaro Miyamoto, Eisuke Iwasaki, Motohiko Kato, Tomohisa Sujino   +5 more
doaj   +1 more source

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

Advanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia, Giovanna Pappalardo, Aldo R. Boccaccini, Liliana Liverani   +3 more
wiley   +1 more source

Sustained success in endoscopic performance demonstrated by the Irish National Endoscopy Quality Improvement Programme

Endoscopy International Open
Eoin Keating, Eoin Slattery, Karen Hartery, Glen Doherty, Conor Canavan, Jan Leyden   +5 more
doaj   +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

Development of a national root cause analysis system for post-endoscopy upper gastrointestinal cancer

Endoscopy International Open
Amar Srinivasa, Rebeca Fiadeiro, Tim Gentry, Shilpi Goel, Tameera Rahman, Karen Clements, Warren Chapman, Nicholas Burr, Dipankar Mukherjee, Matthew Banks, Mimi McCord, Anjan Dhar, Roland Valori, Nigel Trudgill   +13 more
doaj   +1 more source