The high annotation costs in medical detection tasks make semi-supervised object detection (SSOD) methods particularly promising. However, current research has paid little attention to medical image SSOD, and conventional SSOD approaches struggle with the unique challenges of medical imaging—scarce annotations and difficult-to-learn features.

Sequential recommendation is an important research task in the field of recommendation systems. The goal of the sequential recommendation task can be defined as follows: given a user’s interaction sequence and the associated timestamp sequence, predict the next item that the user is likely to interact with at the next time step. The existing methods have limitations in capturing the diversity of long-term interests, the dynamics of short-term user interest, and the hierarchical relationship between them.

A new commentary in Forest Ecosystems warns that peer review in forestry journals is under mounting pressure: published articles have quadrupled since 2000 while the reviewer workforce has shrunk. The authors examine how AI tools could help fill the gap, finding they are useful for catching technical errors but cannot replace the deeper judgement of human experts. They call on journals to experiment with new review models, consider compensating reviewers, and develop clear policies for responsible AI use.

What do bee venom, frog skin secretions, and the body's own antimicrobial molecules have in common? According to a new review published in the Chinese Journal of Natural Medicines, they all contain naturally derived oncolytic peptides, small proteins that are emerging as promising tools in the fight against cancer. Unlike many conventional therapies that target specific molecular pathways, these peptides primarily attack the outer membranes of cancer cells, allowing them to destroy tumors through a fundamentally different mechanism. Many can also stimulate immune responses against cancer, raising interest in their use alongside modern immunotherapies. The review summarizes recent advances in peptide discovery, molecular engineering, drug delivery, and clinical development, highlighting both the opportunities and challenges involved in translating these natural molecules into future cancer treatments.