Results 131 to 140 of about 277,190 (298)

Pathways to strengthening the epidemic intelligence workforce

BMC Proceedings
The evolving landscape of public health surveillance demands a proficient and diverse workforce adept in data science and analysis. This report summarises discussions from the third session of the WHO Pandemic and Epidemic Intelligence Innovation Forum ...
Barbara Tornimbene, Zoila Beatriz Leiva Rioja, Olaolu Aderinola, Zulma M. Cucunubá, Catalina González-Uribe, Danil Mihailov, Steven Riley, Sang-woo Tak, Oliver Morgan   +8 more
doaj   +1 more source

The Role of Artificial Intelligence in Medication Management for Older Adults: A Systematic Review

AGING MEDICINE, EarlyView.
Artificial intelligence enhances medication management for older adults by improving adherence, personalizing treatment, and predicting risks. Despite benefits, challenges remain in usability, trust, ethics, and system integration. Successful adoption requires user‐centered design, ethical safeguards, and seamless healthcare integration to ensure safe,
Dipak Chandra Das, Moustaq Karim Khan Rony, Shovit Dutta, MD. Sami Al Zubair Zujbe, Tapan Bhattacharjee, Niloy Debnath, Shabbir Abdullah Maruf, Chowdhury Galib Mortuza, Farhana Rahman, Akash Das   +9 more
wiley   +1 more source

Advances in Gastric Cancer Research: Insights Into Carcinogenesis, the Tumor Microenvironment, Metastasis, and Factors Influencing Prognosis

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background The Department of Gastroenterological Surgery at Kumamoto University has maintained a commitment to integrating cutting‐edge clinical practice with fundamental research, particularly concerning malignant diseases of the digestive tract.
Hideo Baba, Takatsugu Ishimoto, Yoshifumi Baba, Hiromitsu Hayashi, Masaaki Iwatsuki   +4 more
wiley   +1 more source

Real‐World Data of Retroperitoneal Tumor Surgeries Performed by Gastroenterological Surgeons in Japan: Analysis Based on the National Clinical Database

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background Retroperitoneal tumors (RPTs) are rare and anatomically complex neoplasms, for which surgery remains the mainstay of treatment. However, real‐world data on their surgical management in Japan have been limited. Objective To describe the clinical characteristics and short‐term outcomes of patients undergoing resection for RPTs in ...
Keisuke Kurimoto, Hiroyuki Yamamoto, Masaki Sunagawa, Yoshiki Kajiwara, Hiroshi Hasegawa, Hideki Ueno, Ken Shirabe, Mitsuro Kanda, Tomoki Ebata, Yukihiro Yokoyama   +9 more
wiley   +1 more source

Rethinking Perioperative Corticosteroids in Esophageal Cancer Surgery: Evidence From an Integrative Meta‐Analysis

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background Esophagectomy remains a highly invasive procedure associated with substantial postoperative morbidity. Pulmonary complications, anastomotic leakage, and in‐hospital mortality are of particular concern. Perioperative corticosteroids are often administered to attenuate excessive inflammatory responses; however, the clinical impact in ...
Tomohiko Yasuda, Akihisa Matsuda, Nobutoshi Hagiwara, Yoshiharu Nakamura, Hiroshi Yoshida   +4 more
wiley   +1 more source

Long‐Term Outcomes After Stoma Creation in Crohn's Disease: A Retrospective Cohort Study of 422 Patients

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Aim Stoma creation is often required in Crohn's disease (CD), most commonly because of progressive anorectal disease. As stoma closure strongly influences long‐term quality of life and surgical decision‐making, this study evaluated the indications and long‐term outcomes of stoma creation in patients with CD.
Kentaro Nagano, Ryuichi Kuwahara, Yusuke Tomoo, Kurando Kusunoki, Yuki Horio, Kei Kimura, Kozo Kataoka, Masataka Ikeda, Motoi Uchino, Hiroki Ikeuchi   +9 more
wiley   +1 more source

AI in chemical engineering: From promise to practice

AIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew, Ronnie Andersson, Thomas Bierweiler, Patrik Ryttestal, Torsten Wik   +4 more
wiley   +1 more source

The Global Influenza Hospital Surveillance Network: A Multicountry Public Health Collaboration

Influenza and Other Respiratory Viruses
ABSTRACT Respiratory viruses represent a significant public health threat. There is the need for robust and coordinated surveillance to guide global health responses. Established in 2012, the Global Influenza Hospital Surveillance Network (GIHSN) addresses this need by collecting clinical and virological data on persons with acute ...
Nunes, Marta C., Chauvel, Cecile, Raboni, Sonia M., López‐labrador, F, Andrew, Melissa, Badar, Nazish, Baillie, Vicky, Bal, Antonin, Baral, Kedar, Baumeister, Elsa, Boutros, Celina, Burtseva, Elena, Coulibaly, Daouda, Cowling, Ben, Danilenko, Daria, Dbaibo, Ghassan, Destras, Gregory, Dia, Ndongo, Drăgănescu, Anca, Giamberardino, Heloisa, Gomez‐camargo, Doris, Josset, Laurence, Koul, Parvaiz, Kyncl, Jan, Laguna‐torres, Victor, Launay, Odile, Nugyen, Liem, Mcneil, Shelly, Medić, Snežana, Mira‐iglesias, Ainara, Mironenko, Alla, Nitsch‐osuch, Aneta, Orrico‐sánchez, Alejandro, Otieno, Nancy A., Regue, Hadrien, Ruiz‐palacios, Guillermo, Salah, Afif, Salman, Muhammad, Săndulescu, Oana, Simon, Viviana, Sominina, Anna, Sordillo, Emilia, Tanriover, Mine, Unal, Serhat, van Bakel, Harm, Vanhems, Philippe, Zhang, Tao, Commaille‐chapus, Catherine, Hunsinger, Camille, Bresee, Joseph, Lina, Bruno, Mccauley, John, Ortiz, Justin, Viboud, Cecile, Zhang, Wenqing, Torcel‐pagnon, Laurence, Mahe, Cedric, Chaves, Sandra   +57 more
openaire   +4 more sources

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai, Yefeng Yang, Tao Huang, Boyang Li   +3 more
wiley   +1 more source

Turning analysis into action: opportunities and challenges in implementing wastewater science for public health decision-making

Frontiers in Public Health
In the 5 years since the emergence of the COVID-19 pandemic, the field of wastewater-based epidemiology (WBE) has dramatically expanded with programs implemented across the globe to monitor for SARS-CoV-2 and other viruses of public health concern ...
Anna Gitter, Anna Gitter, Valeria Ruvalcaba, Katelyn Clark, Katelyn Clark, Theresa Tran Carapucci, Theresa Tran Carapucci, Theresa Tran Carapucci, Fuqing Wu, Fuqing Wu, Blake M. Hanson, Blake M. Hanson, Jennifer Deegan, Jennifer Deegan, John Balliew, Eric Boerwinkle, Eric Boerwinkle, Eric Boerwinkle, Anthony W. Maresso, Anthony W. Maresso, Anthony W. Maresso, Kristina D. Mena, Kristina D. Mena, Kristina D. Mena   +23 more
doaj   +1 more source