Results 181 to 190 of about 149,509 (268)
Correction for McDonald et al., Can auxiliary indicators improve COVID-19 forecasting and hotspot prediction? [PDF]
europepmc +1 more source
Time series-based forecasting of infectious disease outbreak using information systems in public health. [PDF]
Du M.
europepmc +1 more source
Circulating microRNAs as biomarkers of cachexia and sex‐specific cancer in senior dogs. In 25 client‐owned dogs, four circulating miRNAs (miR‐15a, miR‐15b, miR‐16, miR‐140) were downregulated in cachexia, with miR‐16 the strongest individual biomarker (AUC = 0.899).
Soon‐Seok Park +6 more
wiley +1 more source
Emotional resilience and affective forecasting bias in junior high school students: the moderating role of negative coping. [PDF]
Liu X, Su Y, Zhang L, Song S.
europepmc +1 more source
Detecting circulating tumor cells (CTCs) in blood before surgery may help predict outcomes in patients with head and neck squamous cell carcinoma (HNSCC). Here, we show when combined with tumor size and lymph node involvement from routine imaging, CTC status identifies high‐risk patients with poorer survival—offering a simple, minimally invasive tool ...
Susanne Flach +9 more
wiley +1 more source
Forecasting hospital bed occupancy: a time series approach with prophet. [PDF]
Fattouh M +4 more
europepmc +1 more source
Translating whole‐genome doubling into precision medicine in cancer
Whole‐genome doubling creates a WGD‐positive tumor state characterized by persistent chromosomal instability, karyotypic diversification, and cellular stress. These same biological pressures drive aggressive tumor evolution while exposing therapeutic vulnerabilities, providing a rationale for WGD‐informed precision medicine. Whole‐genome doubling (WGD)
Sejung Lee, Junghyeok Lim, Jinhyuk Bhin
wiley +1 more source
Domain-informed weight forecasting: leveraging behavioral and physiological sequences from wearables. [PDF]
Cheng L +6 more
europepmc +1 more source
Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley +1 more source
DG-LLM: Decomposition-based dynamic graph adaptation of large language models for spatiotemporal traffic forecasting. [PDF]
Tabassum S, Nower N.
europepmc +1 more source

