Recent Advancements and Applications of Nanosensors in Oral Health: Revolutionizing Diagnosis and Treatment.

Advances in the field of nanomaterials are laying the foundation for the fabrication of nanosensors that are sensitive, selective, specific, cost-effective, biocompatible, and versatile. Being highly sensitive and selective, nanosensors are crucial in detecting small quantities of analytes and early diagnosis of diseases. These devices, operating on the nanoscale, detect signals, such as physical, chemical, optical, electrochemical, or biological, and then transduce them into a readable form.

In-silico immunoinformatic vaccine design for Treponema denticola ergothionase.

Background: Treponema denticola, a well-studied oral spirochete, adheres, invades, and damages periodontal tissues - gram-negative, anaerobic Treponema denticola. In previous research, sub-gingival spirochetes have correlated positively with dental plaque score, pocket, and clinical attachment level measurements. Hence, the study aims to design an immunoinformatic vaccine using a reverse vaccinology approach against Treponema denticola ergothionase.

Considerations in Premature Menopause: A Review.

Premature menopause impacts 1% of women under the age of 40. The women are at risk of premature death, ischemic disease of the heart, neurological conditions, mood disturbances, psychosexual problems, osteoporosis, and subfertility. There is an imperative for less complicated protocols and enhanced approaches for oocyte donation to get pregnant and achieve motherhood in at-risk women.

Revolutionizing Maternal Health: The Role of Artificial Intelligence in Enhancing Care and Accessibility.

Maternal health remains a critical global health challenge, with disparities in access to care and quality of services contributing to high maternal mortality and morbidity rates. Artificial intelligence (AI) has emerged as a promising tool for addressing these challenges by enhancing diagnostic accuracy, improving patient monitoring, and expanding access to care. This review explores the transformative role of AI in maternal healthcare, focusing on its applications in the early detection of pregnancy complications, personalized care, and remote monitoring through AI-driven technologies.