Our AlgoMarkers™ perform algorithmic processing of lab results, clinical, and EHR data to provide condition-specific, post-analytical, personalized patient risk assessment scores to physicians, population health managers, and healthcare teams.

What's an AlgoMarker™?

Each AlgoMarker is related to a clinical condition or action. These pre-built computational models generate a personalized predictive result for an individual based on their specific clinical data. AlgoMarkers are the result of a mathematical analysis of tens of millions of people and billions of data points such as lab results, structured EHR data, vital signs, and demographics.
Maximizing the value of existing data, AlgoMarkers take only milliseconds to process the applicable subset of an individual patient’s data and identify risk factors that are specific to both patient and condition. These personalized insights can then be evaluated and taken into consideration by physicians, care managers, and healthcare teams, leading to timely actions and interventions.

How AlgoMarkers™ work

Each AlgoMarker performs machine learning-based signal analysis to identify patients with a greater chance of developing a certain disease or condition. EarlySign provides a platform to execute AlgoMarkers and integrate them into different work streams. This helps clinicians in their efforts to efficiently detect and intervene to prevent the onset or progression of high-burden diseases.

Lower GI Disorders

Identifies patients at high risk for having lower GI disorders that may be associated with chronic occult bleeding.

Diabetes Care

Create opportunities for enhanced care by recognizing those with prediabetes at high risk for progressing to diabetes within the next 12 months.


Finds patients at high risk for flu-related complications and enables individual outreach to promote vaccination.

Chronic Kidney Disease (CKD)

Flagging prediabetic or patients with Type 2 diabetes at high-risk for progression of CKD in the coming 12 months

Cardiovascular Disease (CVD)

Cardiovascular Disease (CVD)

Exposes non-diabetics and Type 2 diabetics at high-risk for developing their first heart attack (myocardial infarction) within the next year.

Lung Cancer

Identifies people at risk for having Non-Small-Cell Lung Cancer (NSCLC) using routine, existing clinical labs, smoking history, demographic and EHR data.

COVID-19 Complications

Identifies individuals at increased risk for having COVID-19 complications.


These high-burden diseases are known to negatively impact the community and create a burden to the health system. Most importantly, they create emotional distress, significant economic anxiety, and physical suffering for individuals.

To us, there’s nothing more important than moving the discussion from sick care to health care, with unyielding attention placed on keeping people healthier longer.

Address the problems brought on by high-burden diseases.

Medial EarlySign provides a suite of machine learning-based solutions that use routine, readily available EHR and clinical data to aid healthcare professionals with early detection and prevention of high-burden diseases.

Are you looking to solve high-burden disease challenges?