All profits from this book are dedicated to NGOs supporting orphaned children worldwide.
"This stunning description of current limitations in medical data that crucially affect therapy decisions and impact treatment success, will stir the minds of both laypersons and experts alike. Starting with compelling real-world examples, Manasi Aichmueller Ratnaparkhe not only highlights the shortcomings of healthcare databases worldwide, she also convincingly offers how to solve the issues, as the solutions are already at hand. We simply need to act. This is a remarkable and timely book, one that should be read by as many people as possible."
- Prof. Dr. Peter Lichter, German Cancer Research Center, HD, Germany
"I have practiced medicine for over forty years, and all that time I carried an unease I could never name. This book names it. Patients are still dosed and diagnosed by rules written for the few. It is about time that changed. I am glad someone is finally saying it loudly and clearly. If I could hand one book to every young doctor, it would be this. Let it be a legacy."
- Dr. M.V. Vaidya, Physician
Modern medicine presents itself as universal. It is not. The genomic databases, drug doses, reference ranges, and diagnostic algorithms that decide how patients are treated were built largely on people of European ancestry, roughly 16% of the world. For the remaining 84%, the cost is a quiet, repeating harm: doses calibrated for a metabolism they do not have, results read against a population they do not belong to, and tools that work least well for the patients most at risk. As AI moves into diagnosis and prescribing, trained on the same narrow data, it threatens to repeat the pattern at a scale and speed no earlier system could.
remaining84 follows that gap into the places it does its damage, and shows that it is no one's design and everyone's inheritance. It also shows that it can close.
Drawing on pharmacogenomics, real clinical cases, and medical infrastructure for diverse populations, argues that the foundation of medicine can be rebuilt to read every patient as they are, and that the tools already exist. The only thing remaining is the decision to begin.
