Developing a rapid screening tool for high-risk ICU patients of sepsis: integrating electronic medical records with machine learning methods for mortality prediction in hospitalize... by Songchang Shi, Lihui Zhang, Shujuan Zhang, Jinyang Shi, Donghuang Hong, Siqi Wu, Xiaobin Pan, Wei Lin

“…Abstract Objectives To develop a machine learning-based prediction model using clinical data from the first 24 h of ICU admission to enable rapid screening and early intervention for sepsis patients. …”
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Advancing in ovo egg sexing through molecular sex identification of chick embryos using LAMP and RPA assays by Marc Van Der Hofstadt, Nicolas l’Helgoualch, Juliette Houot-Cernettig, Thérèse Galindo, Taciana Manso, Priscila Graziela Alves Martins, Joris Huguenin, Julien Espeut, Franck Molina, Thi Nhu Ngoc Van

“…These newly developed assays substantially simplify experimental settings while offering faster and more affordable sexing methods. …”
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Evaluating GreenFeed and respiration chambers for daily and intraday measurements of enteric gaseous exchange in dairy cows housed in tiestalls by X. Ma, S.E. Räisänen, K. Wang, S. Amelchanka, K. Giller, MZ. Islam, Y. Li, R. Peng, M. Reichenbach, A.M. Serviento, X. Sun, M. Niu

“…At the intraday level, there was an interaction between techniques and hour-of-day for CH4 production, as indicated by the discrepancies in postprandial CH4 emissions between techniques. In summary, this set of results showed that there were strong positive correlations for CH4 and H2 emissions between GF and RC based on individual cow data. …”
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Predictive analysis of pediatric gastroenteritis risk factors and seasonal variations using VGG Dense HybridNetClassifier a novel deep learning approach by P. T. Pranesh, Carmelin Durai Singh, Anand Sivanandam, Raman Muthusamy, Swati Sharma, Taha Alqahtani, Humood Al Shmrany, Daniel Ejim Uti

“…VDHNC proves reliable when it comes to early detection and assessment of risk in pediatric gastroenteritis cases. …”
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Assessing the Scope of Evidence-Based Interventions and Policy Mobilization Efforts on CMV Infection Prevention in U.S. Pregnant Women: A Scoping Review by Joshua Sohmer, Diana Lobaina, Michelle Faliv, Kathryn Lotharius, Vama Jhumkhawala, Sabina Fridman, Tiffany Follin, Lea Sacca

“…Despite its strong presence, the lack of routine prenatal screening limits its detection and prevention, especially in low-resource communities. …”
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Machine‐Learning Based Multi‐Layer Soil Moisture Forecasts—An Application Case Study of the Montana 2017 Flash Drought by J. Du, J. S. Kimball, K. Jencso, Z. Hoylman, C. Brust, D. Ketchum, Y. Xu, H. Lu, J. Sheffield

“…A satellite‐driven machine‐learning approach was developed in this study to build complex relationships between diversified predictor data sets and in situ multi‐layer SM measurements from the Montana Mesonet, a regionally dense environmental station network in the US upper Missouri and Columbia basins. …”
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ViX-MangoEFormer: An Enhanced Vision Transformer–EfficientFormer and Stacking Ensemble Approach for Mango Leaf Disease Recognition with Explainable Artificial Intelligence by Abdullah Al Noman, Amira Hossain, Anamul Sakib, Jesika Debnath, Hasib Fardin, Abdullah Al Sakib, Rezaul Haque, Md. Redwan Ahmed, Ahmed Wasif Reza, M. Ali Akber Dewan

“…This performance consistently outperformed individual pre-trained models and MangoNet-Stack. Additionally, data augmentation has improved the performance of every architecture compared to its non-augmented version. …”
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Artificial intelligence model predicts M2 macrophage levels and HCC prognosis with only globally labeled pathological images by Huiyuan Tian, Yongshao Tian, Dujuan Li, Minfan Zhao, Qiankun Luo, Lingfei Kong, Tao Qin

“…Background and aimsThe levels of M2 macrophages are significantly associated with the prognosis of hepatocellular carcinoma (HCC), however, current detection methods in clinical settings remain challenging. …”
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Evaluation of a decade of management of a North American aquatic invasive species (Nitellopsis obtusa) highlights scale-dependent effectiveness and monitoring gaps by Wesley J. Glisson, Michelle Nault, Chris Jurek, Eric Fischer, Keegan Lund, Kylie Bloodsworth Cattoor, April Londo, Nicole Kovar, Emelia Hauck-Jacobs, Rod Egdell, Steve McComas, Eric Fieldseth, Daniel J. Larkin

“…At the smallest scales, hand pulling was an effective containment strategy for small, localized populations that were detected early. These results highlight the need to set realistic goals for N. obtusa control and develop improved management techniques. …”
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Screening for diabetic retinopathy at a health centre in South Africa: A cross-sectional study by Ntokozo Zulu, Patrick Ngassa Piotie, Elizabeth M. Webb, Wezi G. Maphenduka, Steve Cook, Paul Rheeder

“…Aim: To describe the clinical characteristics and outcomes of eye screenings and subsequent referrals. Setting: Laudium Community Health Centre (CHC), a PHC facility in Tshwane. …”
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Combinations of multimodal neuroimaging biomarkers and cognitive test scores to identify patients with cognitive impairment by Yuriko Nakaoku, Soshiro Ogata, Kiyotaka Nemoto, Chikage Kakuta, Eri Kiyoshige, Kanako Teramoto, Kiyomasa Nakatsuka, Gantsetseg Ganbaatar, Masafumi Ihara, Kunihiro Nishimura

“…This study aimed to develop and test new identification models for MCI in community settings based on multiple sources of clinical features, including neuroimaging biomarkers.MethodsThis cross-sectional study analyzed cognitive testing and MRI examination data from 148 community-dwelling older adults in Nobeoka City. …”
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Comparing cognitive impairment using MACFIMS in patients with multiple sclerosis and healthy controls: a systematic review and meta-analysis by Amirreza Nasirzadeh, Mohammad Mohammadi, Melika Arab Bafrani, Aynaz Mohammadi, Hossein Bakhtiari-Dovvombaygi

“…Eligible studies included peer-reviewed research assessing the validity of the MACFIMS in adult MS patients. Data extraction and quality assessment were performed using standardized tools, and statistical analyses were conducted using R4.2.3. …”
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Cross-sectional assessment of the Tinetti performance-oriented mobility tool for screening physical frailty syndrome in older adults by Mahta Hayati, Guilherme Eustáquio Furtado, Parvaneh Nazarali, Mahta Sardroodian, Haniyeh Mohammadi, Mahdi Hosseinzadeh

“…Additionally, it sought to compare PFF variables between PFS groups to assess the applicability of these tests as practical screening tools in clinical and community settings. Methods Data were collected from 161 participants (91 males, 56.5%; 70 females, 43.5%), including sociodemographic, anthropometric, medical history, PFF, and PFS assessments. …”
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Conjecture Interaction Optimization Model for Intelligent Transportation Systems in Smart Cities Using Reciprocated Multi-Instance Learning for Road Traffic Management by Abdullah Faiz Al Asmari, Ahmed Almutairi, Fayez Alanazi, Tariq Alqubaysi, Ammar Armghan

“…This model accounts for the road’s physical condition and traffic density for setting up routing efficiency. The priorities are dynamic and based on the nearest assisting/ communicating terminal to improve the forecast on dynamic vehicle routing. …”
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Polysomnographic correlates of self-and caregiver-reported sleep problems in post-stroke patients by Kamalesh Tayade, Deepti Vibha, Rajesh Kumar Singh, Awadh Kishor Pandit, Bhargavi Ramanujam, Animesh Das, Arunmozhimaran Elavarasi, Ayush Agarwal, Achal Kumar Srivastava, Manjari Tripathi

“…Proactive screening using structured questionnaires and PSG (or alternatives such as actigraphy) is essential in resource-limited settings to detect and treat sleep disorders that may impact recovery.…”
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Association of Placental Morphometry with Neonatal Birth Weight in a Semi-urban Population: A Cross-sectional Study by Hemant Deshpande, Shivani Patel

“…Neonatal birth weight was recorded. Data were analysed using Statistical Package for Social Sciences (SPSS) version 28. …”
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Development and Internal Validation of a Machine Learning-Based Colorectal Cancer Risk Prediction Model by Deborah Jael Herrera, Daiane Maria Seibert, Karen Feyen, Marlon van Loo, Guido Van Hal, Wessel van de Veerdonk

“…<b>Methods:</b> We analyzed data from 154,887 adults, aged 55–74 years, who participated in the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial. …”
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Clinicopathological and molecular subtypes of breast cancer in the Eastern Cape, South Africa: A two-year retrospective study. by Hayden Gerald Kretzmann, Oladele Vincent Adeniyi

“…This study addresses the lack of recent data on BC cases in the Eastern Cape Province of South Africa.…”
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Cross-Database Evaluation of Deep Learning Methods for Intrapartum Cardiotocography Classification by Lochana Mendis, Debjyoti Karmakar, Marimuthu Palaniswami, Fiona Brownfoot, Emerson Keenan

“…Efforts to address this issue have focused on data-driven deep-learning methods to detect fetal compromise automatically. …”
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Designing an intervention to improve cognitive evaluations in primary care by Kyra S. O’Brien, Kristin Harkins, MaryAnne Peifer, Melanie Kleid, Cameron Coykendall, Judy Shea, Jason Karlawish, Robert E. Burke

“…For some patients, early detection of cognitive impairment enables access to disease-modifying therapies. …”
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