Predictive Dialysis Intelligence that supports safer fluid removal during Haemodialysis
About Us
Partnership with
DIALIQ™
Predictive Dialysis Care
DIALIQ™
Dialysis Care
Analyses patient data to predict intradialytic hypotension risk and support safer ultrafiltration decisions.
Analyses patient data to predict intradialytic hypotension risk and support safer ultrafiltration decisions.
How DIALIQ™ Works
Clinical Development Pipeline
Turning dialysis treatment data into predictive intelligence
for safer haemodialysis care.
Step 1
Clinical Data Collection
Collecting multi-parameter dialysis data (blood pressure, heart rate, UFR, and machine settings) in a secure, compliant manner to build a robust foundation for predictive modeling.
Gathering Data..
Blood Pressure
Filtration Rate
Patient Weight
Dialyser Type
Blood Flow
Step 2
AI Development
Our LSTM-based algorithm is trained on real-world retrospective clinical datasets. The model predicts intradialytic hypotension minutes before onset, enabling proactive intervention.
- class UFRPredictor(nn.Module):def __init__(self, input_size=11):super().__init__()self.lstm = nn.LSTM(input_size, hiddenbatch_first=True)self.fc = nn.Linear(hidden_size, 1)def forward(self, x):out, _ = self.lstm(x)return torch.sigmoid(self.fc(out[:, -1, :]
- class UFRPredictor(nn.Module):def __init__(self, input_size=11):super().__init__()self.lstm = nn.LSTM(input_size, hiddenbatch_first=True)self.fc = nn.Linear(hidden_size, 1)def forward(self, x):out, _ = self.lstm(x)return torch.sigmoid(self.fc(out[:, -1, :]
Step 3
Seamless System Integration
A fully functional GUI is ready for real-time monitoring and UFR adjustment simulation. API integration is in progress, enabling easy deployment into dialysis workflows and EHR systems.
DIALIQ™
Predictive Score
Step 4
Real-World Testing & Iteration
We are preparing a prospective pilot study with nephrologists to measure patient outcomes. The model will be continuously refined using clinician feedback and outcome data — ensuring safety, accuracy, and regulatory compliance
Pilot Study
Prospective validation with real patient sessions.
Clinician Feedback
Refinement driven by nephrologist and dialysis nurse
Regulatory Ready
Designed to support SaMD approval
Step 1
Routine Data Entry
During haemodialysis, nurses record key patient and machine data at regular intervals.
Gathering Data..
Blood Pressure
Filtration Rate
Patient Weight
Dialyser Type
Blood Flow
Step 2
Predict IDH Risk
DIALIQ™ uses AI to identify patterns associated with intradialytic hypotension risk.
- class UFRPredictor(nn.Module):def __init__(self, input_size=11):super().__init__()self.lstm = nn.LSTM(input_size, hiddenbatch_first=True)self.fc = nn.Linear(hidden_size, 1)def forward(self, x):out, _ = self.lstm(x)return torch.sigmoid(self.fc(out[:, -1, :]
- class UFRPredictor(nn.Module):def __init__(self, input_size=11):super().__init__()self.lstm = nn.LSTM(input_size, hiddenbatch_first=True)self.fc = nn.Linear(hidden_size, 1)def forward(self, x):out, _ = self.lstm(x)return torch.sigmoid(self.fc(out[:, -1, :]
Step 3
Support Clinical Decisions
Clinicians receive clear risk insights to help guide safer fluid removal decisions.
DIALIQ™
Predictive Score
Step 4
Validate in Clinical Care
Nexev works with clinical partners to evaluate safety, accuracy, usability, and workflow fit.
Pilot Study
Prospective validation with real patient sessions.
Clinician Feedback
Refinement driven by nephrologist and dialysis nurse
Regulatory Ready
Designed to support SaMD approval
Impact of DIALIQ™ on Patient Outcomes
Reduce Treatment Disruption
DIALIQ™ analyses dialysis treatment data to identify early signs of intradialytic hypotension risk. This early insight supports steadier blood pressure control, reducing symptomatic drops.
Support Safer Fluid Removal
DIALIQ™ helps clinicians to m ake ultrafiltration decisions with patient stability.
Request Early Access to Nexev
Be among the first dialysis centers to test AI-guided, real-time UFR optimisation. Let's make dialysis safer — together
Clinical
Collaborationwith Nexev
Partner with Nexev to explore and develop next-generation, data-driven dialysis solutions.
clinical@nexev.co
