Precision Rx

There are 210 Million diagnosed diabetics in the world. Their clinical treatment and outcome data exists in unstructured and disorganized formats in EMR systems across the world. We take that data, label it with the help of endocrinologists and feed it to Precision Rx. Within due course, Precision Rx becomes smart and distinguishes ‘Effective’ Drug Outcomes from ‘Ineffective Ones’

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Eliminate Trial

Eliminating Trial and Error

Precision Rx benchmarks a patient’s health data against prescription and outcome data of thousands of patients from across the globe thus issuing on demand prescription guidance. By simulating treatment outcomes for all 11 Type-2 diabetes drug classes, clinicians can overcome trial and error.

How it Works

Precision Rx interfaces seamlessly with an EHR platform and sources only the necessary patient data required to make a sound prescription decision.

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Doctor Performs Diagnosis
Doctor conducts patient interview, clinical investigations & diagnoses patient with Type-2 Diabetes
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EMR Data Extraction
PrecisionRx extracts patient info (clinical observations, lab results, ADR history) from the EMR relevant for making a prescription decision
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Big Data Analysis
PrecisionRx parses the patient data through a Supervised ML Model, benchmarking the patient medical data against similar patient's data from across the world
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Drug Response Modeling
PrecisionRx models out projected drug responses for the 11 T2D Drug classes for the current patient and attributes risk/toxicity scores for all the 11* drug classes
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Prescription Guidance Report
PrecisionRx generates a prescription guidance report sorting all 11 T2D drug classes based on potentail toxicity / efficacy for the patient. The Doctor now makes a 'data-driven' prescription decision

Why Precision Rx?

Lower Treatment Costs

Lower Treatment Costs

The average spend on T2D per patient in the US is ~$17,000 per year. Reduce the burden by limiting medication switching.

Improve Outcomes

Improve Outcomes

Achieve better outcomes in HbA1C levels and hypoglycemic episodes by matching patients to the best available drug

Curb side-effects

Curb side-effects

Precision medicine selection to reduce side-effects such as acne, metallic taste, hypoglycemic episodes

Click-to-order Prescription Guidance

Click-to-order Prescription Guidance

Precision Rx is a pure Big Data solution with no lengthy diagnostic test ordering cycles or CPT code approval process

Heart

We Love

Our Physicians

Physicians play an integral role in our product dev journey - right from concept inception to prototype testing to clinical implementation. We’re conceiving Precision Rx as a tool for physicians by physicians.

Physician Testimonials
Ideation

Ideation

Market Research

Market Research

Algorithmic Mocks

Algorithmic Mocks

We are here

Prototypes

Prototypes

Pilots

Pilots

Clinical Trial

Clinical Trial

Live Implement

Live Implementation

You’re A Physician

You’re A Physician!

Want to Get Involved?

Physicians speak

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The ability to use machine learning to analyze data and tailor prescriptions to an individual patient’s profile has the potential to improve medication compliance and overall management of type 2 diabetes. Keeping diabetes well controlled decreases costly complications of the disease (infection, cardiovascular disease, kidney damage), which is beneficial to patients, doctors and health care systems.

Dr. rachel m. shing

Emergency Medicine Physician at Comanche County Memorial Hospital, Oklahoma City;

Former Resident at UCLA Health, Los Angeles

" One size does not fit all. " We as physicians have known this for a long time but still continue to expect all our patients to recover with trial and error medication practices. The time has come for personalized medication plans through a data-driven solution that fits seamlessly within our current clinical workflow. Aevus is engineering a tool that I can envision helping thousands of patients experience better outcomes across the globe achieve better glycemic control, while enjoying lower treatment costs.

Dr. Yasmin Sarfraz

Physician at Oklahoma City Veteran Affairs Health System, Oklahoma City;

Fellow of the Royal College of Ob-Gyn London

Precision medicine powered by predictive analytics leads to improved diabetes treatment

Dr. Thummala Kamala

Sr. Endocrinologist at Samatvam Diabetes

Endocrinology Center, Bangalore, India

Meet the Team

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Ales Varabyou
Computational Biology Advisor LinkedIn
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Dr. Riaz Sirajuddin
Specialty Physician Advisor LinkedIn
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Yash Sagar Santani
CEO & Product Architect LinkedIn
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Puneet Chadha
Operations & Biz. Dev. LinkedIn
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Christin Bivens
Head of Data Science LinkedIn
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Yasmin Sarfraz
Medical Affairs
(Physician at Veteran Affairs Medical Center Oklahoma City)
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Dr. Rachel Shing
Medical Advisor
(Physician at Comanche County Memorial Hospital, Oklahoma City; Former Resident at UCLA Health, Los Angeles)
LinkedIn
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Pallav Prakash
Business Strategy LinkedIn

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