The cells that transmit visual information from the eye to the brain can die when they become overloaded with calcium. Scientists led by Dr Mehdi Borjkhani of ICTER have shown in a computational model that magnesium can curb this dangerous influx of calcium without shutting down visual signaling. However, this intervention must be carefully controlled; both the magnesium concentration and the timing are important.

In a study published in the Academy of Management Journal, researchers surveyed around 1,000 newcomers in the manufacturing industry about their dynamics with supervisors and co-workers during their first month on the job. The researchers surveyed the employees once a month to track shifts in workplace relationships and how political skills influenced their adjustment over time. The study found that newcomers with higher political skills have more social interactions with co-workers and supervisors. Months later, they also had a better understanding of their responsibilities and the social structure in their workplace.

Cervical cancer is a major threat to women's health. Multimodal fusion AI models integrate cytological, histopathological, clinical, and molecular data, potentially improving detection sensitivity, grading accuracy, and screening efficiency. Traditional methods face limitations in subjectivity, efficiency, and primary care resources. This review details the technical architecture, fusion strategies (deep learning, attention mechanisms, cross‑modal alignment), clinical applications, and translational challenges of multimodal fusion AI models. With further refinement and validation, these models may become useful tools for improving cervical cancer screening and prevention.