Blood cancer is one of the deadliest types of malignancies. If not diagnosed and treated early, its disease progression can lead to death in both adults and children. In fact, it was proven that most of the cases are treatable if detected early. Therefore, a need for an accurate diagnostic system to early spot the signs of blood cancer is crucial. The expected duration of this PhD student project is 1 year. This study’s novelty stems from its exclusive use of CBC, paving the way for a cost-effective digital decision support system (DSS) for blood cancer diagnosis. This approach facilitates broad population screenings, optimizes referrals in primary and secondary care settings, and promises timely diagnoses in specialized centers.
