Artificial Intelligence (AI) principles published in 1956 included the recommendation to use algorithms for solving complex processes. The creation of the Roussel Uclaf Causality Assessment Method (RUCAM) was published in 1993 with integration of an intelligent algorithm to solve issues of causality assessment in cases of complex suspected drug induced liver injury (DILI) cases. Other causality assessment methods (CAMs) published before the era of AI and RUCAM followed rather general principles without precise and valid algorithm.

Cancer is the second most common cause of death worldwide, accounting for an estimated 9.6 million deaths in the year 2018, a number that is expected to grow to more than 13 million by 2030. In the past decade, we have witnessed unprecedented scientific advancement in the understanding of cancer etiology, prevention, diagnosis and development of new therapeutic strategies.

Pharmaceutical companies have been actively adopting artificial intelligence (AI) approaches for drug discovery and are starting to focus this technology on clinical trials. The shift from large-scale collaborations to smaller strategic partnerships and recently to internal teams has led to increased headcounts that are being organized to deliver AI across the enterprise. Although the urgency of the COVID-19 could have been a perfect test case for leveraging AI, it drew awareness to the obstacles of data access.

Ovarian cancer stands as the most lethal gynecologic malignancy and remains the fifth most common gynecologic cancer. Poor prognosis and low five-year survival rate are attributed to nonspecific symptoms at early phases along with a lack of effective treatment at advanced stages. It is thus paramount, that ovarian carcinoma be viewed through several lenses in order to gain a thorough comprehension of its molecular pathogenesis, epidemiology, histological subtypes, hereditary factors, diagnostic approaches, and methods of treatment.

The present Commentary is a critical follow-up of a previous review about “Extracellular vesicles, news about their role in immune cells: physiology, pathology and diseases”, appeared in Clinical and Experimental Immunology last June 2019 [1].