Atlantis AI360 Search Engine
Case Study #2
Atlantis AI360 analyzed clinical data to guide gastrointestinal cancer treatment, addressing key questions on therapy sequencing, alternatives, and immunotherapy use, enabling personalized strategies based on patient-specific clinical parameters.
Clinical guidelines in precision medicine: Atlantis AI360 was utilized to create insights on current best practices in the treatment of Gastrointestinal Cancers. The platform analyzed clinical data and created a decision tree to address questions such as -
#1. What are the 1st, 2nd and 3rd-line treatment options for patients with advanced hepatocellular cancer (HCC), Child-Pugh class A liver disease, Eastern Cooperative Oncology Group (ECOG) Performance Status PS 0-1?
#2. What are the alternatives for patients if Atezolizumab and Bevacizumab are contraindicated?
#3. When can doublet therapy with Gemcitabine and Capecitabine or monotherapy with Gemcitabine alone or Fluorouracil plus Folinic Acid alone can be offered?
#4. When should checkpoint inhibitors such as Nivolumab and Ipilimumab be used?
… and so on (representative data)
The analysis was used to identify potential treatment strategies for different patient populations based on distinct clinical parameters.
