Age Matters: Early-Onset Rectal Cancer Exhibits Higher Rates of Pathological Complete Response: A Retrospective Analysis of the Influence of Young Age on Treatment Success in Stage II-III Rectal Cancer.

Background: The incidence of rectal cancer has decreased overall, but the incidence of early-onset rectal cancer (eoRC) has increased. Early-onset rectal cancer and late-onset rectal cancer (loRC) differ due to phenotypical, genetic characteristics, and higher stage presentations in eoRC. Thus, eoRC patients undergo more aggressive neoadjuvant treatments.

Reducing the positive margins rate for anal melanoma in the modern era: a national propensity score matched study.

Anal Melanoma (AM) is a rare and aggressive disease lacking standardized treatment protocols. Despite advancements in medical oncology, the 5-year overall survival (OS) remains at 20%. Local surgery (LS) has gained popularity over radical surgery (RS) due to its comparable OS when negative margins are achieved.

Molecular modeling analyses of functionalized cellulose.

Functionalization of cellulose with nanomaterials and functional groups is essential for enhancing its properties for specific applications, such as flexible sensors and printed electronics. This study employs Hartree Fock (HF) and Density Functional Theory (DFT) calculations to investigate the vibrational spectra of cellulose, identifying DFT: B3LYP/3-21 g** as the optimal model aligning with experimental spectra. Using this model, we examined the impact of functionalizing cellulose with various groups (OH, NH, COOH, CH, CHO, CN, SH) and graphene oxide (GO) on its electronic properties.

Comprehensive Morphometric Analysis to Identify Key Neuroimaging Biomarkers for the Diagnosis of Adult Hydrocephalus Using Artificial Intelligence.

Background And Objectives: Hydrocephalus involves abnormal cerebrospinal fluid accumulation in brain ventricles. Early and accurate diagnosis is crucial for timely intervention and preventing progressive neurological deterioration. The aim of this study was to identify key neuroimaging biomarkers for the diagnosis of hydrocephalus using artificial intelligence to develop practical and accurate diagnostic tools for neurosurgeons.