Results 211 to 220 of about 448,807 (365)

Prognostic Utility of the Preoperative Cachexia Index in Patients Undergoing Emergency Laparotomy

Annals of Gastroenterological Surgery, EarlyView.
The preoperative cachexia index, incorporating muscle mass, nutritional status, and inflammation, predicts in‐hospital and one‐year mortality in patients undergoing emergency laparotomy. This simple index may aid in risk stratification and perioperative decision‐making in high‐risk surgical patients. ABSTRACT Aim Emergency laparotomy is associated with
Naoko Fukushima, Takahiro Masuda, Kazuto Tsuboi, Masami Yuda, Keita Takahashi, Fumiaki Yano, Ken Eto   +6 more
wiley   +1 more source

The pathway to child survival in the Birhan Cohort, Ethiopia, 2018-22. [PDF]

J Glob Health
Bayou NB, Nigatu TG, Tesfaye BH, Hunegnaw BM, Pons-Duran C, Alemu K, Taddesse L, Bekele D, Tolera G, Chan G.   +9 more
europepmc   +1 more source

Development and Validation of the Individual Burden of Illness Index for Major Depressive Disorder (IBI-D)

Administration and Policy in Mental Health and Mental Health Services Research, 2013
W. Ishak, Jared Greenberg, Tammy Saah, S. Mobaraki, Hala Fakhry, Qian Wu, E. Ngor, Fei Yu, R. Cohen   +8 more
semanticscholar   +1 more source

AIEgen‐Based and Smartphone‐Assisted On‐Site Quantitation of Cystatin C for Monitoring of Chronic Kidney Disease

Aggregate, EarlyView.
By employing new protein‐templated AIEgen Ir@BSA as the phosphorescence signal indicator and papain as the biomolecular recognition element, a straightforward protocol for Cys C quantitation has been developed. On‐site quantitation of Cys C in clinical serum samples has been successfully demonstrated using a smartphone‐based portable phosphorescence ...
Shuqi Xia, Xue Zhu, Shiqiong Niu, Wanqing Zhang, Jinyi Gong, Zhaofan Luo, Meijin Li, Changqing Yi   +7 more
wiley   +1 more source

Association of C-reactive protein with cause, duration and severity of lower respiratory infections in primary care: a prospective cohort study. [PDF]

BMJ Open Respir Res
Ebell M, Merenstein DJ, Barrett B, Buhr M, Hulme C, Hamer C, Walters S, Sabry A, Barlow S.   +8 more
europepmc   +1 more source

Machine Learning‐Assisted Infectious Disease Detection in Low‐Income Areas: Toward Rapid Triage of Dengue and Zika Virus Using Open‐Source Hardware

Advanced Intelligent Discovery, EarlyView.
This study introduces an affordable machine learning platform for simultaneous dengue and zika detection using fluorine‐doped tin oxide thin films modified with gold nanoparticles and DNA aptamers. Designed for low‐cost, hardware‐limited devices (< $25), the model achieves 95.3% accuracy and uses only 9.4 kB of RAM, demonstrating viability for resource‐
Marina Ribeiro Batistuti Sawazaki, Bassam Bachour Junior, Marcelo Mulato, José Ilton de Oliveira Filho   +3 more
wiley   +1 more source

Design, Control, and Clinical Applications of Magnetic Actuation Systems: Challenges and Opportunities

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo, Lidong Yang, Tiantian Xu, Dong Sun   +3 more
wiley   +1 more source

Body Mass Index Dependent Metabolic Syndrome in Severe Mental Illness Patients

International Journal of Osteoporosis and Metabolic Disorders, 2014
Fatemeh Aliakbari, Mohammad Zaman Kamkar, Abdoljalal Marjani   +2 more
openaire   +2 more sources

Machine Learning‐Based Estimation of Experimental Artifacts and Image Quality in Fluorescence Microscopy

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley   +1 more source

Computational Models of Multisensory Integration with Recurrent Neural Networks: A Critical Review and Future Directions

Advanced Intelligent Systems, EarlyView.
This review outlines how recurrent neural networks model multisensory integration by capturing temporal and probabilistic features of sensory input. Key developments, challenges, and future directions are summarized, providing insights into biologically inspired AI. Multisensory integration (MSI) is a core brain function underlying perception, learning,
Ehsan Bolhasani, Seyed Hamed Aboutalebi, Yaser Merrikhi   +2 more
wiley   +1 more source