First immune-transcriptomic map of lung cancer plus tuberculosis.

CD4/CD8 ratio and NK cells up; antigen presentation pathways enriched.

Six-gene signature validated; four-gene model AUC 0.94 for LC-PTB.

MTB remodels tumor microenvironment via metabolic-immune crosstalk.

This review systematically examines the integration of machine learning (ML) and artificial intelligence (AI) in nanomedicine for cancer drug delivery. It demonstrates how ML algorithms—including support vector machines, neural networks, and deep learning models—are revolutionizing nanoparticle design, drug release prediction, and personalized therapy planning. The article outlines the complete ML workflow from data acquisition to model interpretation, compares key algorithms, and presents real-world case studies spanning multidrug carrier optimization and cancer diagnostics. While highlighting substantial preclinical advances, the authors identify critical barriers to clinical translation such as data heterogeneity, model opacity, and regulatory challenges. The review concludes with a forward-looking roadmap emphasizing data standardization, explainable AI, and clinical validation to bridge the gap between computational innovation and patient-ready nanomedicine.

Researchers propose a new route to electrically control magnetism using molecular ferroelectric altermagnets. By tuning molecular dipole alignments, the team demonstrates that spin polarization can be switched on, off, or reversed without altering magnetic order. Verified through theoretical model and first-principles studies in hybrid perovskites and metal-organic frameworks, this work introduces a flexible, low-power platform for electrically driven spintronics, bridging molecular ferroelectrics and next-generation magnetic memory technologies.

Red light plays a crucial role in shaping flower development, yet its underlying influence on flowering timing in roses has remained unclear. 

A research team from China examined the entire process of the ecological use of reclaimed water from water recharge to ecological buffer zones to receiving water bodies and addresses the key challenges and future perspectives on the ecological use of reclaimed water. Strategies, such as establishing a comprehensive evaluation framework, developing ecological safety thresholds of key risk factors in reclaimed water, strengthening the functions of the ecological buffer zone, and optimizing ecosystem service value and the benefit of reclaimed water, have been put forward toward future safe and sustainable ecological use.

Chinese researchers have taken a fresh look at one of the biggest challenges in precision manufacturing: understanding and controlling the many different errors that affect the accuracy of machine tools. Their review, published in the International Journal of Extreme Manufacturing, explains why these errors are becoming increasingly complex to manage and how new technologies can help.