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Oncology is becoming increasingly personalised through advancements in precision in diagnostics and therapeutics, with more and more data available on both ends to create individualised plans. The depth and breadth of data are outpacing our natural ability to interpret it. Artificial intelligence (AI) provides a solution to ingest and digest this data deluge to improve detection, prediction and skill development.

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Objective: The objective of this study is to present a cross-sectional analysis of cancer burden in the South Asian Association for Regional Cooperation (SAARC) region and explain unique characteristics of its cancer burden as compared with the rest of the world.

Methods And Analysis: Using publicly available data from the Global Cancer Observatory (GCO) and the World Bank, we collected cancer statistics and population statistics for Afghanistan, Bangladesh, Bhutan, India, the Maldives, Nepal, Pakistan, and Sri Lanka from 2017 to 2022.

Results: The number of newly diagnosed cases in the region was 1 846 963, representing 9.

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Objective: Estimations of the treatment effect on overall survival (OS) may be influenced by post-progression therapies (PPTs). It is unclear how often OS analyses account for PPT effects. The purpose of this cross-sectional analysis was to determine the prevalence of OS analyses accounting for PPT effects in phase III oncology trials.

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His and Hers Earnings Trajectories: Economic Homogamy and Long-Term Earnings Inequality Within and Between Different-Sex Couples.

Res Soc Stratif Mobil

December 2024

The University of South Carolina, Department of Sociology, Sloan College, 911 Pickens Street, Columbia, S.C. 29208.

Economic homogamy has important implications for gender inequality and for economic inequalities between households. However, the long-term association between spouses' earnings is not well understood. This study reconceptualizes economic homogamy as a life course process rather than a static state of being that can be adequately captured at a single point in time.

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Impact of the COVID-19 pandemic on small vulnerable newborns: an interrupted time series analysis in Peru and Brazil.

J Glob Health

January 2025

Centro de Investigación en Salud Materna e Infantil and Centro de Investigación para el Desarrollo Integral y Sostenible, Universidad Peruana Cayetano Heredia, Lima, Peru.

Background: We examined COVID-19's impact on the number of small vulnerable newborns (SVN) at national and regional levels in Peru and Brazil.

Methods: Using national birth registries, we examined monthly numbers of preterm (PT), low birthweight (LBW), and small for gestational age (SGA) newborns. We analysed COVID-19's impact on SVN using two interrupted time series models.

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