AI based models achieved an accuracy rate of 86% for detecting ovarian cancer, compared to 82% for human experts.

Between 1988 and 2017, there were significant global variations and trends in ovarian cancer incidence and its subtypes, ...

In a new study led by researchers at Karolinska Institutet in Sweden, AI models did a better job of detecting ovarian cancer ...

Transformer-based neural network models exhibit strong generalization and surpass diagnostic performance of expert an ...

Artificial intelligence has proven to be helpful in identifying more cases of breast and ovarian cancer. Studies conducted in ...

An NDA has been accepted by the FDA for the combination of avutometinib and defactinib in KRAS-mutated recurrent low-grade ...

The Minnesota Department of Health (MDH) says about 3,850 women in Minnesota are living with an ovarian cancer diagnosis and ...

A new study published in the journal Nature Medicine shows that specially trained AI program achieved an accuracy rate of ...

GlobalData tracks drug-specific phase transition and likelihood of approval scores, in addition to indication benchmarks based off 18 years of historical drug development data. Attributes of the drug, ...

Artificial intelligence (AI)-based models developed by a team of international researchers were able to identify ovarian ...

Nuvectis Pharma’s NXP800 shows potential in ovarian cancer but is early stage. Find out why NVCT stock is best suited for ...

GlobalData tracks drug-specific phase transition and likelihood of approval scores, in addition to indication benchmarks based off 18 years of historical drug development data. Attributes of the drug, ...