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AI/ML Subsidiary Neural Cloud Begins Pilot at SickKids to Advance AI-Enabled Pediatric Cardiac Care

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Neural Cloud (OTCQB:AIMLF) announced a pilot with The Hospital for Sick Children (SickKids) beginning November 24, 2025 to evaluate its MaxYield™ AI platform in pediatric cardiac care. The project will test AI-driven ECG signal cleaning, beat-by-beat interval analysis, and multimodal models that combine ECG waveforms with clinical and textual data to predict cardiac deterioration in pediatric inpatients. The pilot is led by Dr. Cedric Manlhiot and will assess real-world performance, reliability, safety validation, drift monitoring, and fairness for potential future regulated medical uses.

Neural Cloud (OTCQB:AIMLF) ha annunciato un progetto pilota con The Hospital for Sick Children (SickKids) a partire dal 24 novembre 2025 per valutare la sua piattaforma AI MaxYield™ nel trattamento pediatrico cardiaco. Il progetto testerà pulizia dei segnali ECG guidata dall'IA, analisi beat-by-beat degli intervalli e modelli multimodali che combinano forme d'onda ECG con dati clinici e testuali per prevedere un deterioramento cardiaco nei pazienti pediatrici ricoverati. Il pilota è guidato dal dottor Cedric Manlhiot e valuterà le prestazioni nel mondo reale, l'affidabilità, la validazione della sicurezza, il monitoraggio del drift e l'equità per potenziali usi medici regolamentati futuri.

Neural Cloud (OTCQB:AIMLF) anunció un piloto con The Hospital for Sick Children (SickKids) a partir del 24 de noviembre de 2025 para evaluar su plataforma MaxYield™ de IA en el cuidado cardíaco pediátrico. El proyecto probará limpieza de señales ECG impulsada por IA, análisis de intervalos beat-by-beat y modelos multimodales que combinan formas de ECG con datos clínicos y textuales para predecir el deterioro cardíaco en pacientes pediátricos hospitalizados. El piloto es liderado por el Dr. Cedric Manlhiot y evaluará el rendimiento en condiciones reales, la confiabilidad, la validación de seguridad, el monitoreo de deriva y la equidad para posibles usos médicos regulados en el futuro.

Neural Cloud (OTCQB:AIMLF)는 2025년 11월 24일부터 SickKids(The Hospital for Sick Children)와의 파일럿을 발표하여 소아 심장 치료에서 MaxYield™ AI 플랫폼을 평가합니다. 이 프로젝트는 AI 주도 ECG 신호 정리, 비트별 간격 분석, ECG 파형과 임상 및 텍스트 데이터를 결합한 다중 모드 모델을 테스트하여 소아 입원 환자의 심장 악화를 예측합니다. 파일럿은 Cedric Manlhiot 박사가 이끌며 실제 환경에서의 성능, 신뢰성, 안전성 검증, 드리프트 모니터링 및 공정성을 평가하여 향후 규제 의료 활용 가능성을 검토합니다.

Neural Cloud (OTCQB:AIMLF) a annoncé un pilote avec The Hospital for Sick Children (SickKids) à partir du 24 novembre 2025 pour évaluer sa plateforme d'IA MaxYield™ dans les soins cardiaques pédiatriques. Le projet testera le nettoyage des signaux ECG guidé par l’IA, l’analyse des intervalles beat-by-beat et des modèles multimodaux qui combinent des formes d’ECG avec des données cliniques et textuelles pour prédire une détérioration cardiaque chez les patients pédiatriques hospitalisés. Le pilote est dirigé par le Dr Cedric Manlhiot et évaluera les performances en conditions réelles, la fiabilité, la validation de sécurité, la surveillance des dérives et l’équité pour d’éventuelles utilisations médicales réglementées futures.

Neural Cloud (OTCQB:AIMLF) kündigte ab dem 24. November 2025 einen Pilotversuch mit dem The Hospital for Sick Children (SickKids) an, um seine MaxYield™ AI-Plattform in der pädiatrischen Herzmedizin zu evaluieren. Das Projekt wird KI-gesteuerte ECG-Signalreinigung, die beat-by-beat-Intervallanalyse und multimodale Modelle testen, die ECG-Wellenformen mit klinischen und textlichen Daten kombinieren, um eine Verschlechterung des Herzsystems bei pädiatrischen stationären Patienten vorherzusagen. Der Pilot wird von Dr. Cedric Manlhiot geleitet und bewertet die reale Leistungsfähigkeit, Zuverlässigkeit, Sicherheitsvalidierung, Driftüberwachung und Fairness für potenzielle zukünftige regulierte medizinische Anwendungen.

Neural Cloud (OTCQB:AIMLF) أعلنت عن تجربة تجريبية مع The Hospital for Sick Children (SickKids) ابتداءً من 24 نوفمبر 2025 لتقييم منصّة MaxYield™ للذكاء الاصطناعي في رعاية أمراض القلب للأطفال. سيختبر المشروع تنظيف إشارات ECG المدفوع بالذكاء الاصطناعي، تحليل الفواصل بين النبضات، ونماذج متعددة الوسائط تجمع موجات ECG مع بيانات سريرية ونصية للتنبؤ بتدهور صحة القلب لدى الأطفال المقيمين في المستشفى. تقود التجربة الدكتور سيدريك مانليوت وستقيّم الأداء الواقعي، والموثوقية، والتحقق من السلامة، ورصد الانحراف، والعدالة لاستخدامات طبية منظمة محتملة في المستقبل.

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  • Pilot Project to Explore AI-Driven ECG Signal Processing and Predictive Deterioration Models in Pediatric Cardiac Care

TORONTO, ON / ACCESS Newswire / November 24, 2025 / NeuralCloud Solutions Inc. ("Neural Cloud"), a subsidiary of AI/ML Innovations Inc. ("AIML" or the "Company") (CSE:AIML)(OTCQB:AIMLF)(FWB:42FB), is pleased to announce that it has entered into a pilot with The Hospital for Sick Children ("SickKids"), one of the world's premier pediatric health-science centers and research institutions, to evaluate Neural Cloud's proprietary MaxYield platform in pediatric cardiac settings.

This project represents a significant milestone in applying advanced AI-based ECG signal processing to support early-stage detection of cardiac deterioration in children. Under the collaboration, NeuralCloud will provide secure, cloud-based access to its MaxYield platform to support an emerging initiative, focused on developing advanced, real-world AI infrastructure to help predict cardiac deterioration in pediatric inpatients. The project will initially assess the performance of MaxYield in cleaning and processing ECG waveform data, enabling multimodal AI models to combine ECG signals with clinical and textual data to predict complications earlier and more accurately.

MaxYield uses neural-network signal enhancement to isolate and label P-waves, QRS complexes, and T-waves, delivering beat-by-beat interval analysis and structured outputs suitable for advanced AI workflows.

The pilot is led by Dr. Cedric Manlhiot, Ph.D., the Dr. William G. Williams Research Directorship in Cardiac Data Analytics and the Ted Rogers Innovator in Cardiovascular Precision Medicine at the Ted Rogers Centre for Heart Research. "Children with cardiac disease require precise monitoring, and early signals of deterioration are often subtle," said Dr. Cedric Manlhiot, "By integrating Neural Cloud's ECG signal-cleaning and processing capabilities into our research pipeline, we aim to enhance the accuracy, and real-world reliability of advanced AI models designed to support clinicians and families."

Dr. Manlhiot is an international leader in pediatric cardiovascular data science, with prior leadership roles at SickKids and Johns Hopkins University, where he oversaw initiatives advancing digital cardiology research and AI-driven precision care. Dr. Manlhiot's program seeks to develop a unified cardiology foundation model capable of real-time risk prediction, multi-modal data integration, and trustworthy AI-assisted decision support, including drift monitoring, safety validation, and fairness evaluation.

"Working with SickKids represents a tremendous opportunity to evaluate our platform in one of the most demanding clinical arenas," said Esmat Naikyar, President of Neural Cloud and Chief Product Officer at AIML. "Pediatric cardiology requires exceptional accuracy and robustness. We're glad to contribute to the development of improved early-warning systems for vulnerable patients."

"This collaboration marks an important step in evaluating our cardiac signal technology," said Paul Duffy, Executive Chairman and CEO of AIML. "Pediatric cardiology has stringent requirements for accuracy, reliability, and safety - and supporting teams focused on advancing cardiovascular care supports our goal of developing responsible, high-fidelity ECG tools. Piloting MaxYield at SickKids helps inform our approach to future regulated medical applications."

About The Ted Rogers Centre for Heart Research

The Ted Rogers Centre for Heart Research, made possible through the generous support of The Rogers Foundation, is a unique partnership with the University Health Network, University of Toronto, and SickKids seeking to transform and dramatically improve the future of heart health for children, adults, and families across Canada and around the world.

About AI/ML Innovations Inc.

AIML Innovations Inc. is a global technology company pioneering the use of artificial intelligence and neural networks to transform digital health. Our proprietary platforms leverage advanced signal processing and deep learning to convert complex biometric data into actionable clinical insights-supporting earlier diagnosis, personalized treatment, and more effective care.

AIML's shares trade on the Canadian Securities Exchange (CSE:AIML), the OTCQB Venture Market (AIMLF), and the Frankfurt Stock Exchange (42FB).

For detailed information please see AIML's website or the Company's filed documents at www.sedarplus.ca.

Contact:
Blake Fallis (778) 405-0882

On behalf of the Board of Directors:
Paul Duffy, Executive Chairman and CEO

Neither the CSE nor its Regulation Services Provider (as that term is defined in the policies of the CSE) accepts responsibility for the adequacy or accuracy of this release.

Forward Looking Statements - Certain information set forth in this news release may contain forward-looking statements that involve substantial known and unknown risks and uncertainties, including risks associated with the implementation of the Company's products and services. These forward-looking statements are subject to numerous risks and uncertainties, certain of which are beyond the control of the Company, including with respect to the nature and timing of future operations and the receipt of all applicable regulatory approvals. Readers are cautioned that the assumptions used in the preparation of such information, although considered reasonable at the time of preparation, may prove to be imprecise and, as such, undue reliance should not be placed on forward-looking statements.

SOURCE: AI/ML Innovations, Inc.



View the original press release on ACCESS Newswire

FAQ

What is the scope of the Neural Cloud pilot at SickKids announced on November 24, 2025 (AIMLF)?

The pilot will evaluate MaxYield™ for ECG signal cleaning, beat-by-beat analysis, and multimodal AI models to predict pediatric cardiac deterioration.

Who is leading the SickKids pilot for Neural Cloud's MaxYield™ (AIMLF)?

The pilot is led by Dr. Cedric Manlhiot, Research Directorship in Cardiac Data Analytics at the Ted Rogers Centre for Heart Research.

What specific ECG features will MaxYield™ process in the AIMLF pilot at SickKids?

MaxYield™ isolates and labels P-waves, QRS complexes, and T-waves and delivers beat-by-beat interval analysis and structured outputs.

Will the SickKids pilot for AIMLF address model safety and bias?

Yes; the project includes safety validation, drift monitoring, and fairness evaluation as part of assessing real-world reliability.

Does the November 24, 2025 AIMLF announcement state the pilot's commercial terms or timeline?

No; the announcement describes the pilot's technical goals and leadership but does not disclose commercial value, contract terms, or a detailed timeline.
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