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An examination of daily CO emissions prediction through a comparative analysis of machine learning, deep learning, and statistical models.
Environ Sci Pollut Res Int
January 2025
Department of Geology and Mineral Science, Kwara State University, Malete, P.M.B. 1530, Ilorin, Kwara State, Nigeria.
Human-induced global warming, primarily attributed to the rise in atmospheric CO, poses a substantial risk to the survival of humanity. While most research focuses on predicting annual CO emissions, which are crucial for setting long-term emission mitigation targets, the precise prediction of daily CO emissions is equally vital for setting short-term targets. This study examines the performance of 14 models in predicting daily CO emissions data from 1/1/2022 to 30/9/2023 across the top four polluting regions (China, India, the USA, and the EU27&UK).
View Article and Find Full Text PDFPrognostic impact and risk factors of severe neutropenia in the early phase of treatment with trifluridine-tipiracil for metastatic colorectal cancer patients: a single-center retrospective study.
Int J Colorectal Dis
January 2025
Department of Surgery, Japan Community Healthcare Organization Tokuyama Central Hospital, 1-1 Koda-Cho, Shunan, Yamaguchi, 745-0822, Japan.
Purpose: We aimed to identify the risk factors for severe neutropenia in the early phase of trifluridine-tipiracil (FTD/TPI) treatment, and their impact on overall survival (OS).
Methods: This single-center retrospective study included patients with unresectable metastatic colorectal cancer who were treated with FTD/TPI. The primary endpoint was OS, and the secondary endpoint was severe neutropenia during the first and second cycles of FTD/TPI.
[Neurogenic lower urinary tract dysfunction following spinal cord injury].
Urologie
January 2025
Neuro-Urologie, Schweizer Paraplegiker-Zentrum, Guido A. Zäch-Straße 1, 6207, Nottwil, Schweiz.
A spinal cord injury (SCI) leads to neurogenic lower urinary tract dysfunction (NLUTD), which, if left untreated, can result not only in urinary incontinence and an increased risk of urinary tract infections and kidney dysfunction but may also pose a vital threat to people with SCI. Comprehensive neurourological assessments, including patient history and combined video urodynamics, are essential to accurately classify dysfunction and establish therapeutic strategies. Treatment options include, among others, medications for detrusor regulation, intermittent catheterization, and, if necessary, surgical interventions from intradetrusor botulinum toxin A injections to sacral deafferentation.
View Article and Find Full Text PDFKeyhole decompression surgery for holospinal epidural abscess: a novel approach for spinal stability preservation.
Eur Spine J
January 2025
Department of Orthopaedic Surgery, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba, 260-8670, Japan.
Purpose: Spinal epidural abscesses are rare yet serious conditions, often necessitating emergency surgical intervention. Holospinal epidural abscesses (HEA) extending from the cervical to the lumbosacral spine are even rarer and present significant challenges in management. This report aims to describe a case of HEA with both ventrally-located cervical and dorsally-located thoracolumbar epidural abscesses treated with a combination of anterior keyhole decompression and posterior skip decompression surgeries.
View Article and Find Full Text PDFIntegration of clinical, pathological, radiological, and transcriptomic data improves prediction for first-line immunotherapy outcome in metastatic non-small cell lung cancer.
Nat Commun
January 2025
Bioinformatics and computational systems biology of cancer, Institut Curie, Inserm U900, PSL Research University, Paris, France.
Immunotherapy is improving the survival of patients with metastatic non-small cell lung cancer (NSCLC), yet reliable biomarkers are needed to identify responders prospectively and optimize patient care. In this study, we explore the benefits of multimodal approaches to predict immunotherapy outcome using multiple machine learning algorithms and integration strategies. We analyze baseline multimodal data from a cohort of 317 metastatic NSCLC patients treated with first-line immunotherapy, including positron emission tomography images, digitized pathological slides, bulk transcriptomic profiles, and clinical information.
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