Safe Alzheimer's treatment with AI

Decision making with AI you can trust in;

RESEARCH

Our in-house XAI module will unravel how these complex models combine various patient characteristics into an overall patient outcome

CLINICAL TRIAL

Our XAI engine doesn’t just flag who will respond to treatmentit shows which characteristics make them likely responders, which helps refine trial design and target and select the right populations

PATIENT ASSESSMENTS IN CLINICS

Our decision support tool facilitates individualized treatment assessments, monitoring and early diagnosis for patietns considering treatments

baba’s AI-rig help you make decisions you can explain in the following areas

RISK
PROFILING

We forecast what patients are at risk of developing side-effects from a given treatment

SUBGROUP
STRATIFICATION

We determine whether a patient cohort can be divided into smaller
groups

TREATMENT
RESPONSE

We forecast patients that are likely to have a
high response to
treatments

EARLY
DIAGNOSIS

We enable timely identification of patients in early stages of their condition

What problem are we solving?

Over 55M people worldwide live with dementia, and healthcare systems are unprepared for the growing patient surge.

New Alzheimer's therapies face response and side-effect tradeoffs, yet over 100 treatments in development offer promise.

Pharmaceuticals must demonstrate a cost-benefit superior to existing therapies to justify pricing and reimbursement.

Collaborations