Recent research highlights that structured exercise is a powerful tool for reducing the risk of colorectal cancer.  Incorporating exercise into daily routines is increasingly recognized as an effective way to strengthen the body's natural defenses and lower the risk of colorectal cancer in the long term. Early detection, however, remains the most effective way to reduce colorectal cancer mortality.

Surgery has advanced due to innovations in anesthesiology, aseptic techniques, and antibiotics. Minimally invasive techniques reduce patient trauma but increase equipment complexity and costs. Surgical robots address these challenges, improving medical efficiency. This review summarizes their evolution, clinical status, advantages, challenges, and future directions like intelligence and specialization to promote their clinical and technological development.

Chinese researchers have recently challenged the long-held belief that "all life depends on sunlight." In a study published in Science Advances, the researchers identified how microbes in deep subsurface areas can derive energy from chemical reactions driven by crustal faulting, offering critical insights into life deep below Earth's surface.

The tumor microenvironment (TME) is a critical factor in antitumor immunity and treatment outcome in cancer therapy. We have developed an analysis tool called the immuno-oncology biological research (IOBR) to investigate the TME and its role in antitumor immunity. Leveraging multi-omics data, IOBR facilitates comprehensive analysis of TME characteristics, immune interactions, and their impact on immunotherapy outcomes.

The R package rcssci offers an intuitive solution for visualizing Restricted Cubic Splines (RCS) in regression analyses. It automates the generation of spline plots for outcomes like odds ratios (OR), hazard ratios (HR), and risk ratios (RR), facilitating the identification of non-linear relationships in data. Supporting Cox, Logistic, linear, and quasi-Poisson models, rcssci aids researchers in interpreting complex data relationships before delving into advanced machine learning techniques.

 A first-of-its-kind global-to-local study has found that COVID-19’s impact varied remarkably across 920 locations worldwide, even within the same country. By analyzing data on cases, deaths, and healthy years lost between 2020 and 2021, the researchers revealed that broad national or regional averages may mask substantial local disparities. The study calls for more detailed, location-specific data to guide better public health decisions in future pandemics.

The development of an Integrated Real-Time Precise Point Positioning (InRPPP) system leveraging BeiDou Navigation Satellite System (BDS) B2b, B2a, and B1C services has significantly enhanced satellite-based positioning accuracy.