Redefining Oncology Care with Precision

We're transforming oncology workflows ensuring precision in every patient's chemotherapy journey

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20M+

new cancer cases each year globally

10M+

patients require chemotherapy every year

Current chemotherapy dosing is outdated in the precision era.

Today's chemotherapy protocols assume every body is the same. But differences in fat, muscle, and metabolism change how patients respond to treatment.

80%+ cancer patients

are incorrectly dosed

Overdosing

leads to severe toxicities

1 in 3 patients

stop treatment early

Our Solution

We turn CT scans into actionable insights, helping reduce toxicty and patient dropout.

Our platform analyzes each scan to segment muscle, fat, bone, and tumor volume, creating a detailed body composition profile. This data is then processed by our machine learning model to predict the optimal chemotherapy dose for that specific patient, before the first cycle begins.

Backed By 6 Years of Research

Six years of leading research driving personalized, data-backed treatment decisions that save lives.

View all research

Meet the Founders

Building a new standard for chemotherapy dosing. With deep expertise across Digital Health and Oncology, they are uniquely positioned to lead and reshape how cancer care is delivered.

Abhijeet Waykar

Chief Executive Officer

15+ years building digital health and AI solutions at Siemens, Philips, and 4DMedical. Founded and scaled Lenia Health across three countries, now leading PredicTx to transform cancer care with precision dosing.

Professor Justin Yeung

Chief Medical Officer

Globally recognized oncology leader and Professor of Surgery at University of Melbourne and Western Health, with 130+ publications. Co-founded PredicTx to bring patient-specific dosing into mainstream clinical cancer treatment.

It's time to redefine chemotherapy.

Want to know more? Reach out to our team today.