Pap smears are a regular part of health care for those at risk of cervical cancer, but for many patients, the test can be uncomfortable or embarrassing.

Recent research highlights the role of the vaginal microbiome in preventing cervical cancer. Probiotics aid in maintaining a healthy balance of Lactobacillus bacteria, reducing HPV infections ...

Functional MRI data were collected from 19 healthy women and men that ... The stimulus was applied to the thenar eminence of the right hand, corresponding to the sixth cervical segment of the spinal ...

Find out what it's like to undergo a Magnetic Resonance Imaging scan, commonly known as an MRI scan, from our short video. Magnetic Resonance Imaging (MRI) scans are used to acquire detailed images of ...

Cervical cancer is caused by persistent infection due to human papillomavirus (HPV), leading to abnormal cell formation in the cervix. Some of the common symptoms of cervical cancer are vaginal ...

From pain management to hormone therapy, here are a few ways to address reproductive and sexual issues after cervical cancer treatment. Caused by persistent infection of human papillomavirus ...

Consider this a public cervix announcement. The American Cancer Society made a dire prediction — nearly 13,400 cases of invasive cervical cancer will be diagnosed this year and about 4,300 women ...

A woman has expressed her anger after being diagnosed with cervical cancer more than two years after her smear test result was incorrectly recorded as normal. Amie Wood, 39, from Bewdley ...

Objectives: To develop a magnetic resonance imaging (MRI)-based radiomics model for predicting the severity of radiation proctitis (RP) in cervical cancer patients’ post-radiotherapy. Methods: We ...

As we recognise January as Cervical Cancer Awareness month, a recent report from the Commonwealth Secretariat and TogetHER for Health illustrates a vital path towards eliminating cervical cancer in ...

A deep learning model and training/testing/inference library in PyTorch for segmentation, classification, object detection and self-supervised learning using radiology data.