AIMC Topic: Aged
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Machine-learning driven strategies for adapting immunotherapy in metastatic NSCLC.
Nature communications
Jul 24, 2025
Immune checkpoint inhibitors (ICIs), either as monotherapy (ICI-Mono) or combined with chemotherapy (ICI-Chemo), improves survival in advanced non-small cell lung cancer (NSCLC). However, prospective guidance for choosing between these options remain...
Predicting In-Hospital Mortality in Intensive Care Unit Patients Using Causal SurvivalNet With Serum Chloride and Other Causal Factors: Cross-Country Study.
Journal of medical Internet research
Jul 24, 2025
BACKGROUND: Incorporating initial serum chloride levels as a prognostic indicator in the intensive care environment has the potential to refine risk stratification and tailor treatment strategies, leading to more efficient use of clinical resources a...
Design and Validation of a Chatbot-Based Cervical Cancer Screening Decision Aid for Women Experiencing Socioeconomic Disadvantage: User-Centered Approach Study.
JMIR cancer
Jul 24, 2025
BACKGROUND: Cervical cancer (CC) screening participation remains suboptimal among vulnerable populations in France. This study aimed to develop and evaluate AppDate-You, a chatbot-based decision aid, to support women from socioeconomically disadvanta...
Aged
Adult
Uterine Cervical Neoplasms
Middle Aged
Humans
Decision Support Techniques
Female
France
Focus Groups
Socioeconomic Disparities in Health
Papillomavirus Infections
Generative Artificial Intelligence
Socioeconomic Factors
Early Detection of Cancer
Vulnerable Populations
Qualitative Research
Mobile Applications
Post-stroke aphasia analysis using topological alterations in brain functional networks.
Journal of neural engineering
Jul 24, 2025
. Nearly one-third of stroke patients develop aphasia. Although the function of classical language areas (e.g. Broca's area, Wernicke's area) has been widely characterized, the network reorganization mechanisms behind specific language dysfunctions i...
A practical approach to predicting long-term outcomes in traumatic brain injury: Enhancing clinical decision-making with machine learning.
Computers in biology and medicine
Jul 23, 2025
BACKGROUND: Traumatic brain injury (TBI) is among the most prevalent causes of emergency department visits globally. TBI leads to high morbidity and mortality rates, which poses a noteworthy burden on the medical system regarding both patients and ec...
Normal Pressure Hydrocephalus Classification using Weakly-Supervised Local Feature Extraction.
Computers in biology and medicine
Jul 23, 2025
Normal Pressure Hydrocephalus (NPH) presents diagnostic challenges because its symptoms often overlap with other neurological conditions. A key radiological NPH indicator is ventricular cerebrospinal fluid (CSF) volume, assessed by neuroradiologists ...
Clinical diagnostic and prognostic value of homocysteine combined with hemoglobin [f (Hcy-Hb)] in cardio-renal syndrome caused by primary acute myocardial infarction.
Journal of translational medicine
Jul 23, 2025
BACKGROUND: Cardio-renal syndrome (CRS), characterized by multi-organ interaction, is frequently overlooked in clinical practice. It poses significant challenges in treatment, leading to poor long-term prognosis and substantial economic burden on pat...
Development and validation of risk prediction models for acute kidney disease in gout patients: a retrospective study using machine learning.
European journal of medical research
Jul 23, 2025
BACKGROUND: Limited research has been conducted on the prevalence of acute kidney injury (AKI) and acute kidney disease (AKD) in gout patients, as well as the impact of these renal complications on patient outcomes. This study aims to develop machine...
Preoperative MRI-based radiomics analysis of intra- and peritumoral regions for predicting CD3 expression in early cervical cancer.
Scientific reports
Jul 23, 2025
The study investigates the correlation between CD3 T-cell expression levels and cervical cancer (CC) while developing a magnetic resonance (MR) imaging-based radiomics model for preoperative prediction of CD3 T-cell expression levels. Prognostic corr...
An explainable transformer model for Alzheimer's disease detection using retinal imaging.
Scientific reports
Jul 23, 2025
Alzheimer's disease (AD) is a neurodegenerative disorder that affects millions worldwide. In the absence of effective treatment options, early diagnosis is crucial for initiating management strategies to delay disease onset and slow down its progress...
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