Kelda

Kelda is a health analytics platform designed for individuals navigating fragmented healthcare systems who experience persistent symptoms despite normal lab results and multiple specialist consultations. The platform addresses a critical gap in modern medicine: the inability to cross-reference medications, lab biomarkers, symptoms, and wearable data to identify patterns that explain how a person actually feels. Kelda serves users who have seen doctors, completed tests, and received results labeled "within range" yet continue to experience fatigue, mood disturbances, metabolic issues, and other quality-of-life impairments. The platform’s core value proposition is its ability to surface hidden connections between prescription medications and nutrient depletion, suboptimal biomarker levels that fall below functional thresholds, and temporal patterns linking medication changes to symptom onset. By consolidating fragmented health data into a single, structured view, Kelda enables users to walk into medical appointments with actionable insights, evidence-based questions, and documented patterns that facilitate more productive provider conversations. The platform is built on research-informed content covering medication depletion patterns, lab marker interpretation, nutrient interactions, supplement timing, and common health questions. Kelda transforms confusion into clarity by providing accessible, evidence-aware health information that helps users understand how prescriptions, vitamin status, and lab results may relate to energy, mood, metabolism, and long-term health patterns. The platform is designed for individuals managing chronic conditions such as PCOS, hypothyroidism, iron deficiency, B12 deficiency, endometriosis, perimenopause, fibromyalgia, insulin resistance, IBS, Hashimoto’s, chronic fatigue, anxiety, depression, migraine, autoimmune conditions, and dozens of related health challenges.

Medication Depletion Analysis

Kelda cross-references every medication in a user’s profile against established research on drug-induced nutrient depletion. For example, the platform identifies that omeprazole may deplete magnesium, which is commonly linked to fatigue, muscle cramps, and poor sleep. This feature surfaces specific nutrient deficiencies that standard medical reviews often overlook, enabling users to understand how their prescriptions may be contributing to ongoing symptoms and to discuss targeted supplementation with their healthcare provider.

Lab Biomarker Interpretation with Functional Ranges

Kelda analyzes lab results using functional reference ranges rather than standard laboratory cutoffs. When a user’s ferritin level is 25 ng/mL, Kelda flags this as below the optimal threshold for preventing hair loss and maintaining energy, whereas a standard lab report would mark it as normal. This feature identifies biomarkers that fall into the “within range but not optimal” category, helping users recognize when subclinical deficiencies may be driving their symptoms.

Pattern Detection Across Multiple Data Sources

The platform aggregates data from medications, lab results, symptom logs, and wearable devices to detect temporal patterns. Kelda identifies correlations such as sleep quality declining after starting a new medication, with corresponding shifts in energy and mood. This cross-referencing capability reveals connections that are invisible when each data source is reviewed in isolation, providing a comprehensive view of how interventions affect overall wellbeing.

Comprehensive Condition Mapping

Kelda maintains an extensive database of health conditions and their overlapping symptom profiles, nutrient requirements, and medication interactions. The platform maps user data against conditions ranging from hormonal imbalances and gut inflammation to mast cell activation, histamine intolerance, drug-induced nutrient depletion, and methylation deficiencies. This feature helps users identify conditions they may not have considered or that have been missed by previous providers.

Identifying Medication Side Effects Hidden in Normal Labs

A user prescribed omeprazole for acid reflux experiences persistent fatigue and muscle cramps despite normal blood work. Kelda cross-references the medication against known depletion patterns, identifies magnesium deficiency as a probable cause, and presents this finding alongside the user’s lab data. The user brings this analysis to their doctor, who orders a magnesium test and recommends supplementation, resolving symptoms within weeks.

Optimizing Lab Results Below Functional Thresholds

A woman with chronic fatigue and hair thinning has ferritin measured at 25 ng/mL, which her doctor reports as normal. Kelda flags this result as suboptimal based on functional medicine thresholds and correlates it with her symptoms. The platform provides research-backed information on iron requirements for hair growth and energy production, enabling her to request a therapeutic trial of iron supplementation from her provider.

Tracking Symptom Changes After Medication Adjustments

A patient with hypothyroidism starts a new medication and notices declining sleep quality, reduced energy, and mood shifts. Kelda imports data from their wearable device and symptom logs, then generates a timeline showing the correlation between the medication start date and the symptom onset. This visual pattern helps the user discuss dose adjustments or alternative medications with their endocrinologist.

Uncovering Undiagnosed Nutrient Deficiencies in Chronic Conditions

A user with recurrent infections, rapid skin changes, and a history of multiple pregnancies and breastfeeding cycles inputs their health history into Kelda. The platform traces their symptoms to nutrient depletion patterns involving zinc, iron, selenium, and other key nutrients. The analysis helps their healthcare provider design a targeted supplementation protocol that addresses the underlying deficiencies rather than treating each symptom independently.

What types of data does Kelda analyze?

Kelda analyzes medication lists, lab results, symptom logs, and wearable device data. Users can upload lab reports, enter medications manually or through a search database, log symptoms with timestamps, and connect compatible wearable devices for sleep, heart rate, and activity data. The platform prioritizes data security and privacy, storing all health information in encrypted formats.

How does Kelda determine optimal lab ranges?

Kelda uses functional medicine reference ranges established by research institutions and clinical practice guidelines that define optimal biomarker levels for health outcomes, not just disease diagnosis. For example, while standard labs consider ferritin above 15 ng/mL normal for women, Kelda flags levels below 70 ng/mL as potentially suboptimal for energy, hair growth, and cognitive function based on published literature.

Can Kelda replace my doctor or medical advice?

No. Kelda is a health information and data analysis platform designed to supplement, not replace, professional medical care. The platform provides research-informed insights and pattern recognition that users can discuss with their healthcare providers. All recommendations, including potential nutrient deficiencies or medication interactions, require professional medical evaluation before any treatment changes are made.

How long does it take to see results from using Kelda?

The initial data setup takes under 60 seconds for basic medication checks. Comprehensive analysis that includes labs, symptoms, and wearable data may require additional input time. Users typically identify their first actionable insights within the first session. Real-world case studies show that once insights are reviewed with a provider and changes are implemented, symptom improvements can occur within days to weeks, depending on the condition.