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SciSparc: Subsidiary NeuroThera Labs Advances its Quantum Platform for Clinical Data Analytics on a Platform of an S&P 500 company

(Positive)

SciSparc (Nasdaq: SPRC) reported that its subsidiary NeuroThera Labs (TSXV: NTLX) has completed internal validation of a proprietary quantum sampling workflow within its clinical trials data analysis Platform. The workflow allows continuous probability distributions to be represented and analyzed in a quantum computing framework using a major S&P 500 company’s hybrid quantum-classical platform.

According to SciSparc, the validated workflow underpins a key part of the Platform’s computational architecture and is expected to expand capabilities for large-scale clinical and biomedical datasets. The methodology converts continuous data into quantum-operable energy landscapes, enabling Quantum Markov Chain Monte Carlo (QMCMC) sampling while preserving original statistical properties. Quantum dynamics generate proposals and classical logic enforces the target distribution, maintaining statistical guarantees. The Platform is advanced via CliniQuantum, a quantum-focused initiative in which NeuroThera holds 54.01%.

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Positive

  • Completed internal validation of proprietary quantum sampling workflow for clinical data
  • Hybrid quantum-classical architecture supports continuous probability distributions and QMCMC
  • NeuroThera holds 54.01% of CliniQuantum quantum analytics initiative

Negative

  • None.

Market Context

Shrem Itschak's director sale of 462 shares is a platform-recorded insider datapoint. Against this v...
Analysis

Shrem Itschak's director sale of 462 shares is a platform-recorded insider datapoint. Against this validation, it adds governance context rather than evidence of performance. The active F-3 is a resale registration, and its dilution and resale-overhang risk remains relevant.

Key Figures

CliniQuantum ownership: 54.01%
1 metrics
CliniQuantum ownership 54.01% NeuroThera's ownership of CliniQuantum

Previous Clinical trial Reports

3 past events · Latest: Jul 15 (Positive)
Same Type Pattern 3 events
Date Event Sentiment 24h Move Catalyst
Jul 15 Phase IIb initiation Positive +14.8% Hannover Medical School Phase IIb site initiated for SCI-110 in Tourette Syndrome.
Dec 31 Trial approval renewal Positive -22.7% Israeli Medical Cannabis Agency renewed approval for SCI-210 autism trial pending police clearance.
Aug 19 Patient enrollment Positive +1.4% First five patients enrolled and dosed in SCI-210 autism clinical trial.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

Tag-specific clinical-trial precedents were mixed: 14.75% and 1.43% reactions aligned with positive developments, while an approval renewal coincided with a -22.7% divergence.

Key Terms

quantum sampling workflow, continuous probability distributions, quantum-classical computing, quantum markov chain monte carlo
4 terms
quantum sampling workflow technical
"successfully completed internal validation of a proprietary quantum sampling workflow"
A quantum sampling workflow is a repeatable sequence of steps that uses quantum hardware and software to prepare quantum states, run quantum operations, measure outcomes, and process those measurement results to produce representative samples from a probability distribution. For investors, it matters because these samples are the raw inputs for tasks like risk simulations, pricing models and optimization; the workflow’s speed, accuracy and scalability can change how quickly and reliably large, random-scenario calculations are produced, similar to swapping a slow hand-counting method for a much faster automated tool.
continuous probability distributions technical
"enables continuous probability distributions to be represented and analyzed"
A family of mathematical models that describe the likelihood of different outcomes for variables that can take any value within a continuous range, using a probability density function where probability is defined over intervals rather than single points. They matter to investors because analysts and risk models use them to represent things like asset returns, interest rates, or forecast errors — like a smooth hill showing which outcomes are more or less likely and helping quantify risk and expected outcomes.
quantum-classical computing technical
"platform for hybrid quantum-classical computing"
A computing approach that pairs emerging quantum processors with conventional (classical) computers so each handles the tasks it does best—like a specialist working with a generalist. For investors, this hybrid model is important because it allows practical early uses of quantum advantages (faster solutions for certain simulations, optimization, and machine-learning tasks) without waiting for fully faultless quantum machines, so it guides where near-term value and bets may appear.
quantum markov chain monte carlo technical
"application of Quantum Markov Chain Monte Carlo (“QMCMC”) techniques"
A quantum Markov chain Monte Carlo method is a family of algorithms that use quantum computing ideas to sample from complicated probability distributions by letting a system hop through states in a controlled, random-like way. Think of it as replacing a slow explorer walking through a rugged landscape with a faster, quantum-enabled guide that can visit representative spots more efficiently; for investors, that can matter because faster or more accurate sampling helps price complex securities, estimate risk, and run Bayesian models used in forecasting and decision systems.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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TEL AVIV, Israel, July 29, 2026 (GLOBE NEWSWIRE) -- SciSparc Ltd. (Nasdaq: SPRC) (“Company” or “SciSparc”), today announced that NeuroThera Labs Inc. (TSXV: NTLX) ("NeuroThera"), a clinical-stage pharmaceutical company focused on developing novel treatments for central nervous system disorders, has successfully completed internal validation of a proprietary quantum sampling workflow developed platform for clinical trials data analysis (the “Platform”).

The validated workflow enables continuous probability distributions to be represented and analyzed within a quantum computing framework. The implementation was developed and evaluated using an S&P 500 company platform for hybrid quantum-classical computing. The validation supports a key component of the Platform's computational architecture and is expected to further expand the Platform’s capabilities for addressing complex analytical challenges involving large-scale clinical and biomedical datasets.

Many real-world challenges in healthcare, life sciences, drug development and advanced analytics are naturally represented as continuous probability distributions.  The Platform’s proprietary methodology converts these continuous datasets into quantum-operable energy landscape representations, enabling the application of Quantum Markov Chain Monte Carlo (“QMCMC”) techniques while preserving the statistical characteristics of the original data.

By using the Platform, quantum dynamics generate proposed samples while a classical acceptance mechanism preserves the target probability distribution. This hybrid quantum-classical architecture enables continuous datasets to be explored through quantum-generated proposals while maintaining established statistical guarantees.

The validated workflow represents an important step toward enabling increasingly sophisticated quantum-enabled analytical capabilities as quantum computing technologies continue to evolve. NeuroThera believes efficient representation of continuous data within quantum systems will play an increasingly important role in next-generation computational approaches for healthcare and life sciences.

The Platform is being advanced through CliniQuantum, a quantum-focused technology initiative developing proprietary computational solutions for complex clinical data analytics, in which NeuroThera holds 54.01%.

About SciSparc Ltd. (Nasdaq: SPRC):

The Company, through its majority-owned subsidiary NeuroThera, engages in clinical-stage pharmaceutical developments. SciSparc’s focus is on creating and enhancing a portfolio of technologies and assets based on cannabinoid pharmaceuticals. With this focus, the Company, together with its majority-owned subsidiary NeuroThera, is currently engaged in the following drug development programs based on THC and/or non-psychoactive CBD: SCI-110 for the treatment of Tourette syndrome, for the treatment of Alzheimer's disease and agitation; and SCI- 210 for the treatment of autism spectrum disorder and status epilepticus. The Company, through NeuroThera, also owns a controlling interest in a subsidiary whose business focuses on the sale of hemp seed oil-based products on the Amazon.com Marketplace.

About NeuroThera Labs Inc.

NeuroThera is a clinical-stage pharmaceutical company focused on developing novel therapeutics for central nervous system disorders and other underserved health conditions through collaborations and innovative combinations.

Forward-Looking Statements:

This press release contains forward-looking statements within the meaning of the “safe harbor” provisions of the Private Securities Litigation Reform Act of 1995 and other Federal securities laws. For example, SciSparc uses forward-looking statements when it discusses the anticipated capabilities, performance, scalability and utility of NeuroThera’s quantum platform and of the validated quantum sampling workflow; the belief that efficient representation of continuous data within quantum systems will play an increasingly important role in next-generation computational approaches for healthcare and life sciences; the expectation that quantum computing technologies will continue to evolve in a manner that supports increasingly sophisticated analytical capabilities; the applicability of the platform to clinical, biomedical and drug development datasets; the continued development of the platform through CliniQuantum; NeuroThera’s ownership interest in CliniQuantum; and NeuroThera’s business objectives, plans and strategy generally.. Because such statements deal with future events and are based on SciSparc’s current expectations, they are subject to various risks and uncertainties and actual results, performance or achievements of SciSparc could differ materially from those described in or implied by the statements in this press release. The forward-looking statements contained or implied in this press release are subject to other risks and uncertainties, including those discussed under the heading “Risk Factors” in SciSparc’s Annual Report on Form 20-F, filed with the SEC on April 29, 2026, and in subsequent filings with the U.S. Securities and Exchange Commission. Except as otherwise required by law, SciSparc disclaims any intention or obligation to update or revise any forward-looking statements, which speak only as of the date they were made, whether as a result of new information, future events or circumstances or otherwise.

Investor Contact:
IR@scisparc.com
Tel: +972-3-6167055


FAQ

What did SciSparc (NASDAQ: SPRC) announce about NeuroThera Labs on July 29, 2026?

SciSparc announced that NeuroThera Labs completed internal validation of a proprietary quantum sampling workflow for its clinical trials analytics Platform. According to SciSparc, this workflow supports analyzing continuous probability distributions in a quantum framework, enhancing large-scale clinical and biomedical data analysis using hybrid quantum-classical computing.

How does NeuroThera Labs' quantum Platform analyze clinical trial data for SPRC and NTLX?

NeuroThera’s Platform converts continuous clinical datasets into quantum-operable energy landscape representations and applies Quantum Markov Chain Monte Carlo techniques. According to SciSparc, quantum dynamics propose samples while a classical acceptance mechanism preserves the target probability distribution, maintaining established statistical guarantees for clinical and biomedical data analysis.

What is the role of the S&P 500 company's platform in NeuroThera Labs' quantum analytics?

NeuroThera’s validated workflow was developed and evaluated on an S&P 500 company’s hybrid quantum-classical computing platform. According to SciSparc, this environment supports representing continuous probability distributions within a quantum framework, enabling quantum-generated sampling proposals for complex healthcare and life sciences datasets while retaining classical statistical guarantees.

What is CliniQuantum and how is SciSparc exposed through NeuroThera Labs (SPRC, NTLX)?

CliniQuantum is a quantum-focused technology initiative developing proprietary computational solutions for complex clinical data analytics. According to SciSparc, the Platform is being advanced through CliniQuantum, and NeuroThera Labs holds 54.01% of this initiative, providing indirect exposure for SciSparc shareholders to its quantum analytics developments.

Why is efficient representation of continuous data important for NeuroThera Labs' quantum Platform?

Efficient representation of continuous data lets NeuroThera’s Platform model real-world healthcare and life sciences problems as continuous probability distributions. According to NeuroThera, this capability is expected to be increasingly important for next-generation computational approaches, enabling sophisticated quantum-enabled analytics on large-scale clinical and biomedical datasets.

What are Quantum Markov Chain Monte Carlo (QMCMC) techniques in NeuroThera Labs' Platform?

QMCMC techniques in NeuroThera’s Platform use quantum dynamics to generate sample proposals from energy landscape representations of continuous data. According to SciSparc, a classical acceptance mechanism then preserves the target probability distribution, combining quantum exploration benefits with established classical statistical guarantees for clinical and biomedical analyses.