AI-powered · B2B · Incubated at QSTP, Qatar Foundation

No dialysis centre has a protocol
for between sessions.

Dialy-Help is that protocol — an AI-powered interdialytic risk management platform for hemodialysis patients. We detect deterioration 24 to 48 hours before it becomes a clinical emergency.

2TB
Real hemodialysis
training data
24–48h
Deterioration detected
before crisis
3+ LOIs
Signed with
dialysis centres
QSTP
Full incubation,
Qatar Foundation
The problem

Today, dialysis centres have no structured protocol for what happens between sessions.

LUN
Dialyse
MAR
48–72h
Zone aveugle
MER
Dialyse
JEU
48–72h
Zone aveugle
VEN
Dialyse
SAM
72h
SANS SURVEILLANCE
DIM
Dialysis sessions (3/week · 12h)
Interdialytic windows (156h) — Zero signal
⚠ Your team monitors 12h/week. The remaining 156h: zero signal.

Silent deterioration

Fluid overload, cardiac stress, infection build invisibly between sessions — no one is watching.

No clinical protocol

The centre has no data, no workflow, no structured protocol for the interdialytic period.

Avoidable emergencies

Preventable admissions. Pressure on clinical teams. Unnecessary cost to the health system.

34.9% annual hospitalisation rate in dialysis cohorts · 15–20% reduction achievable with proactive monitoring (CJASN 2021)
The solution

Dialy-Help is that protocol.

Dialysis centres will have a structured clinical protocol for managing patients between sessions.

FDA-cleared wearable

Works with any FDA-cleared wearable. Captures ECG, heart rate, HRV, SpO₂, temperature, and respiratory rate continuously between sessions.

AI risk engine

Trained on 2TB of real hemodialysis data. Builds a personal baseline per patient. Flags deviations 24–48h before they escalate to a clinical emergency.

Clinical dashboard

Prioritised alert queue — fewer than 2 patients per day, each reviewable in under 3 minutes. Built for the dialysis nurse, not the data scientist.

Patient mobile app

Daily symptom logging between sessions — feeds the AI engine. Simple interface designed for older patients. Connects them to the clinic without a hospital visit.

How deterioration is caught
Step 1
Patient wears FDA-cleared wearable
24/7 between sessions
→
Step 2
AI monitors baseline deviation
Continuous signal analysis
→
Step 3
Deterioration flagged early
24–48h before crisis
→
Step 4
Nurse alerts, intervenes early
No hospitalisation needed
Integration

Works with what you already have.

Mode A
You already have monitoring

Dialy-Help integrates directly with your existing clinical system via API. Plug our AI risk engine and alert workflow into what you already use.

✓No disruption to current workflow
✓API integration with existing EHR
✓Risk layer plugs directly into your stack
Mode B
You don't have monitoring

We bring the complete solution. Our certified hardware partner handles the device. You get the full end-to-end risk management workflow.

✓Hardware + software, fully integrated
✓FDA cleared and CE certified device
✓Operational in 4–6 weeks
Either way — your dialysis centre gets one thing it never had before: a risk management workflow for the interdialytic window.

We start where the gap is clearest.

Give us 90 days and 10–20 patients. We will show you what proactive care looks like.

FAQ

Common questions

Dialysis centres and their clinical teams. The centre is our client — not the patient directly. The patient benefits through better monitoring and fewer avoidable emergencies between sessions.
No. If you already have a monitoring or EHR system, we integrate via API. If you don't, we provide the complete solution — device included. No disruption to your workflow, and no integration required for the initial pilot phase.
Yes. Dialy-Help works with FDA-cleared and CE-certified ECG wearables. We do not manufacture devices — we provide the software platform, AI engine, and clinical workflow layer on top of any compatible FDA-cleared wearable.
Patient data is encrypted end-to-end and stored on GDPR-compliant cloud infrastructure. We provide a Data Processing Agreement to every partner centre before deployment. Your clinical team retains full ownership of all patient data.
Contact our clinical team. We will discuss your centre size, patient cohort, and current setup. A pilot can be operational in 4–6 weeks with no system integration required for the initial phase.
Platform

The interdialytic risk management stack

Four components. One workflow. Zero gap between sessions.

Component 01

FDA-cleared wearable integration

Continuous monitoring between sessions — without changing the patient's daily life. Works with any FDA-cleared ECG wearable patch.

  • ✓
    Monitors ECG, heart rate, HRV, SpO₂, temperature and respiratory rate continuously between sessions
  • ✓
    Data streams directly to the Dialy-Help AI engine — no manual upload, no delay
  • ✓
    Integrated with any FDA-cleared ECG wearable — clinically validated, not a consumer device
📡
FDA-cleared ECG Wearable Patch
Any compatible FDA-cleared wearable · CE certified
5
Vital signs
24/7
Continuous
FDA
Cleared
AI risk engine — baseline model
Patient #014 — SpO₂ + HRV trend (7 days)
DEVIATION Normal baseline Day 1 Day 7
Patient #014 — HIGH RISK
SpO₂ baseline deviation · Day 2 post-session
Patient #031 — REVIEW
HRV suppression · Fluid overload pattern
18 patients — STABLE
Within normal baseline range
<2 alerts per clinician per day · Each reviewable in <3 minutes
Component 02

AI risk engine

Trained on over 2TB of real longitudinal hemodialysis patient data — the intelligence layer that turns raw signals into clinical decisions.

  • ✓
    Builds a personal physiological baseline per patient — not population averages
  • ✓
    Detects meaningful deviation 24–48h before deterioration reaches clinical threshold
  • ✓
    Fewer than 2 alerts per clinician per day — no noise, no alert fatigue
Component 03

Clinical dashboard

Built for the dialysis nurse, not the data scientist. Reduces clinical workload instead of adding to it.

  • ✓
    Prioritised daily alert queue — fewer than 2 flagged patients per clinician per day
  • ✓
    Each alert includes a 7-day trend summary — reviewable in under 3 minutes
  • ✓
    Integrates with existing EHR systems via API — no new platform required if you prefer yours
Alert Queue — Today
2 / 20 patients flagged
Patient #014
SpO₂ ↓ · HRV deviation
HIGH RISK
Patient #031
Fluid overload pattern
REVIEW
18 patients stable — no action needed
Daily workflow metrics
Avg. alerts per clinician / day<2
Avg. alert review time<3 min
Alerts requiring action<25%
Daily Check-in
Monday, 9:00 AM
🟢
Risk Score: LOW — All good today
Today's log
BreathingNormal ✓
Leg swellingSlight ⚠
FatigueOkay ✓
Sent to your care team ✓
Component 04

Patient mobile app

The patient's connection to the clinical team — between sessions, from home. Simple by design.

  • ✓
    Daily symptom logging — dyspnea, oedema, fatigue — feeds directly into the risk engine
  • ✓
    Push notifications when the care team needs to reach the patient — no unnecessary alerts
  • ✓
    Designed for older patients — large text, minimal steps, available in Arabic, French and English

Ready to pilot the full stack?

90 days. 10–20 patients. No IT integration required for the initial phase.

About us

We are Dialy-Help

We are building the between-visit risk infrastructure for chronic disease management — starting with CKD and dialysis, because we have the data, the clinical access, and the lived experience to do it right.

Our mission

To give every dialysis centre a structured clinical protocol for what happens between sessions — and to prove that earlier intervention reduces harm, cost, and crisis for patients and health systems alike.

Our vision

We start where the gap is clearest. We scale where the model fits.

Dialy-Help begins with hemodialysis — a high-risk, data-rich, underserved window. The platform scales to chronic disease management across MENA and emerging markets.

Why we built this

Born from lived experience.

Ahmed Dridi spent three years as a dialysis patient. Three sessions a week — monitored, cared for. Then he went home. For 48 hours, he was invisible to the medical team.

That gap — the 48 to 72 hours between sessions where fluid overload builds, cardiac stress grows, and infection starts — is where complications develop. And it is where no structured protocol exists.

Dialy-Help was built to close that gap. Not as a concept. As a working system.

Ahmed Dridi during a dialysis session
Ahmed Dridi, fondateur
What drives us

Our values

⚕️

Clinical first

Every feature exists because a nephrologist or nurse needs it. We build for the bedside, not the boardroom.

🔁

No added burden

Dialysis teams are already stretched. Dialy-Help reduces clinical workload — it never adds to it.

🤝

Built with clinicians

Designed in collaboration with nephrologists and cardiologists from day one — not as an afterthought.

📊

Evidence over claims

We measure what matters: avoidable admissions, nurse time saved, patient outcomes. We share the data.

🧬

Lived experience

Our founder spent three years as a dialysis patient. That perspective informs every product decision.

🌍

Built for MENA

We design for emerging markets where reactive care is the default and proactive infrastructure doesn't yet exist.

The people

The team

AD

Ahmed Dridi

Co-Founder & CEO

Former dialysis patient. AI Engineering degree (2027). Built Dialy-Help from the clinical gap he lived through firsthand — three years, three sessions a week.

NR

Dr. Natalie Raphil

Co-Founder & AI Lead

PhD in Artificial Intelligence. Forbes Africa Top 100. Leads model development, clinical validation, and AI architecture for the risk engine.

AJ

Abderahmen Jouini

Co-Founder & CTO

Software architecture and AI systems. Leads platform development and technical integration.

TH

Thara

Biomedical Engineer

Biomedical engineer specialising in AI and signal processing. Applies clinical data science to the risk engine and patient monitoring models.

DL

Dr. Dhaker Lahdhieb

Clinical Advisor — Cardiology

Cardiologist. Expertise in cardiovascular complications in dialysis patients.

We start where the gap is clearest.

We scale where the model fits.

Get in touch

Who are you?

Choose your profile and we'll show you the right form.

🏥

Dialysis centre / Healthcare professional

Request a 90-day pilot for your centre

🙋

Patient or family member

Join the waitlist for when Dialy-Help comes to your region