Research note

Five risks from one record.

A deep-learning model we are building. Not a chatbot. Not a graph. Not trained. Not a medical device, and not a service.

Delivery Flow

AI-native structure with human oversight

Live

Flow Map

Structured stages with human sign-off at each gate

Architecture
01

Diagnose

Structured problem framing and success metrics.

02

Architect

Solution design with human sign-off before build.

03

Build

AI-orchestrated implementation with continuous validation gates.

04

Validate

Outcome testing against business metrics, not only technical acceptance.

05

Transfer

Clean IP handover, knowledge transfer, and exit documentation.

Delivery Mesh

Human review at every critical gate

Synchronized

AI orchestration

Coded steps move through each gate

Human oversight

Architecture, security, and quality

Validation gates

Business outcomes stay in view

What it is

The record is four timelines: labs, codes, medicines, and notes. Each timeline has its own temporal encoder. Fusion joins them. Five heads read that joint vector, and a joint read sits on top.

Head 1

Ischaemic heart disease

First head. The leading cause of death in the WHO 2023 figures.

Head 2

Stroke

Second head. Shares risk with heart disease.

Head 3

COPD

Third head. Often sits with the first two.

Head 4

Diabetes

Fourth head. Same record, same model.

Head 5

Kidney disease

Fifth head. Dementia and lung cancer wait.

What a result means

A score without the inputs that moved it is not a result we will use.

Predicts

A separate risk for each disease, from the record as it stands. Not a diagnosis. Not a death.

Shows

The labs, codes, medicines, and notes that moved the score. That list is the visible signal.

Labels

Codes and note rules can start the labels. A physician reviews the uncertain cases and signs the gate. An automated reader prepares. It does not sign.

Data

The partner owns the record. It stays on their cloud. We do not train a foundation model on it. No patent is filed.

Contact

This note is the research thread. Commercial work remains on the services pages.

Pushkarprabhat Saxena, Founder. contact@theiaone-ai.com