Redefining Clinical Trials Through Quantum Intelligence

Quantum-powered clinical analytics connecting biomarkers with
clinical trial outcomes for smarter, faster, more precise trials.

Redefining
Clinical Trials

Through Quantum Intelligence

Quantum-powered clinical analytics connecting biomarkers with
clinical trial outcomes for smarter, faster, more precise trials.

 

The gap

Classical averages miss real biology

Patients are biologically heterogeneous. Linear statistics often hide non-linear, multi-factorial treatment effects – leading to ‘inconclusive’ trials that overlook true responders.

Underpowered
subgroups

Small responder groups are dismissed as noise, undermining promising therapies.

Heterogeneous
patients

Variability in genetics and biochemical processes influences clinical data outcomes and can materially impact trial results.

Rigid trial
designs

Static protocols can’t adjust as biology reveals itself during the study.

The platform

From averages to biological understanding

CliniQuantum aims to unify data enrichment with quantum modeling (advanced and innovative mathematical approaches using quantum‑based algorithms) and adaptive trial guidance – so every data point counts.

Data
Enrichment

Integrates biological markers, clinical endpoints, and mechanistic context into harmonized, quantum‑ready datasets.

Quantum
Modeling

Advanced and innovative mathematical approaches using quantum‑based algorithms explore complex probability landscapes to reveal latent responder clusters and mechanisms.

Adaptive Trial
Optimization

Translate insight into action – refine inclusion, dosing, arms, and endpoints as molecular signals emerge.

Workflow

How it works

From raw signals to adaptive, mechanism‑guided decisions.

Enrich
the data

Unify clinical outcomes with biological‑marker layers; align preclinical and human evidence.

Translate
to quantum

Convert continuous biological signals into energy‑landscape representations suitable for quantum exploration.

Model
& discover

Apply advanced mathematical models and quantum-based algorithms to identify responder clusters, mechanisms, and efficacy and toxicity signals.

Adapt
the trial

Recommend inclusion, dosing, arms, and endpoint refinements; simulate impact pre‑amendment.

Enrich
the data

Unify clinical outcomes with biological‑marker layers; align preclinical and human evidence.

Translate
to quantum

Convert continuous biological signals into energy‑landscape representations suitable for quantum exploration.

Model
& discover

Apply advanced mathematical models and quantum-based algorithms to identify responder clusters, mechanisms, and efficacy and toxicity signals.

 

Adapt
the trial

Recommend inclusion, dosing, arms, and endpoint refinements; simulate impact pre‑amendment.

Applications

Where we aim to create value

Preclinical → Phase III → Post‑market: unified analytics across the development lifecycle.

1

Preclinical / Translational

Cross‑species signature alignment and mechanism mapping
Biomarker hypothesis generation and dose/PK‑PD bridging
Model selection informed by translational evidence
2

Early Clinical (Ph I/II)

esponder/non‑responder discovery
daptive design support and endpoint refinement
Safety signal triage via molecular correlates
3

Late Clinical (Ph III)

Inconclusive‑trial forensics and stratified analyses
Marker‑guided enrichment and synthetic controls
Mechanism‑anchored evidence for filings and labeling
4

Post‑Market / RWE

Treatment optimization by molecular responders
Companion Dx evolution and signal detection
Value dossiers anchored in mechanism

Technology

CliniQuantum is developing a next-generation
platform to transform clinical trials with the power of
quantum computing. Our aim is to unlock insights
hidden in massive, complex datasets to design
smarter, faster, and more adaptive studies.

The envisioned approach will identify patient sub-populations that
respond best to treatments, simulate and optimize trial protocols in
real time, and integrate advanced quantum algorithms to enhance
analysis and decision-making. By enabling adaptive trial designs
that evolve with incoming data, we aspire to accelerate development
and bring precision therapies to patients sooner.

Team

Interdisciplinary leadership

From raw signals to adaptive, mechanism‑guided decisions.

Dr. Tidhar Turgeman

CEO

Dr. Idit Buch

Head of Computational Biology

Dr. Arik Cohen

Head of Algorithm Development

Advisors:

Prof. Nir Sharon

Applied Mathematics

Dr. Nira Koren-Morag

Clinical trials Biostatistics

Get in touch

Interested in trial rescue, adaptive design support, or translational analytics?

Let’s talk.

+972-55-4335665 info@cliniquantum.com Raoul Wallenberg St. 20 Tel-Aviv, 6971916 Israel

+972-55-4335665
info@cliniquantum.com
Raoul Wallenberg St. 20
Tel-Aviv, 6971916
Israel