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.

Iron fortified hemp biochar made from agricultural waste can significantly cut the amount of “forever chemicals” that move from contaminated soil into food crops, according to a new study on radishes grown in PFAS polluted soil.

N,N-diethyl-m-toluamide, better known as DEET, is one of the world’s most widely used insect repellents – and it is now turning up in rivers, lakes, groundwater and even drinking water around the globe, according to a new review by an international research team. The authors warn that while DEET helps protect millions of people from mosquito-borne diseases, its growing footprint in aquatic environments raises questions about long‑term ecological and health risks.

Researchers have unveiled a new catalyst made from renewable plant waste that could significantly accelerate clean hydrogen production. The innovative material, created by embedding nickel oxide and iron oxide nanoparticles into lignin-derived carbon fibers, boosts the efficiency and stability of the oxygen evolution reaction, a key step in water electrolysis.

Developing elite fruit cultivars typically requires long breeding cycles, especially in perennial woody species. 

Fungal endophthalmitis, a devastating intraocular infection, remains one of ophthalmology's greatest clinical challenges due to its rarity, delayed onset, and complex pathology.