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Spectral AI Expands Burn Study with Two Clinical Trial Sites

2024-07-03 14:15:03.863000

Spectral AI Inc, a Dallas-based AI company specializing in wound treatment diagnostics, has added two US clinical trial sites to its ongoing burn study. The University of California San Diego and the University of Utah have joined the study, bringing the total number of US clinical trial sites to 14. The burn study aims to validate the AI-driven algorithm used by Spectral AI's DeepView System for assessing the healing potential of burn wounds. The DeepView System provides clinicians with an objective and immediate assessment of a wound's healing potential. The study is expected to be completed in Q4 2024, and Spectral AI plans to seek FDA approval for the DeepView System in 2025 [002bc551].

In addition to expanding its burn study, Spectral AI continues to advance its wound treatment diagnostics work. The company is focused on optimizing treatment strategies for conditions like burns and diabetic foot ulcers. Spectral AI's DeepView System, a predictive tool for assessing wound healing potential, offers rapid, algorithm-driven insights into wound care. The company remains committed to empowering users and fostering collaboration within the AI community. Spectral AI has also announced its participation in Hugging Face's Expert Support Program (ESP), a collaboration aimed at advancing open-source models, datasets, and applications for the Onchain Agent Economy [a1f4ba6d].

Lokavant, another AI company, has recently launched Spectrum, an AI clinical trial feasibility software solution. Spectrum supports trial feasibility prediction, optimization, and control throughout the trial. It allows study teams to predict, optimize, and control trial timelines and costs in real-time, enabling iterative feasibility analysis and mid-study course correction. Lokavant's Spectrum solution is designed to conduct accurate strategic and operational feasibility analysis at the start of a clinical trial, as well as mid-study assessments, powering a continual cycle of analysis, re-forecasting, and optimization. Spectrum incorporates "causal AI," a prescriptive form of AI that offers recommendations in real-time. Lokavant's Clinical Intelligence Platform and predictive analytics applications are built with proprietary historical trial data from over 2,000 studies. Spectrum has already proven a 70x improvement in enrollment forecast accuracy, over $1 million in cost savings from patient retention, and six months' time savings from detecting site noncompliance issues [49d37ec7].

Startup Spike, a Lithuanian startup founded by Povilas Gudzius and Nikita Pajanok, leverages AI technologies to enhance healthcare and its digital applications. The company addresses the challenges of integrating AI into the healthcare sector, including implementation complexity, regulatory compliance, and secure data handling. Spike offers a robust API that aggregates data from over 600 wearable and IoT devices, AI-backed solutions using Retrieval Augmented Generation (RAG AI) for accurate and secure data interpretation, managed ETL services for efficient analysis of health data, and a single consolidated REST API for simplified technological integration. The company ensures regulatory compliance with health data regulations such as HIPAA and GDPR. Spike has notable clients including Seguros SURA, Longebo, FITTR, EMMA, Moody Month, and Pulsetto. They recently raised €3.2 million ($3.5 million) in a seed investment round led by Practica Capital and TheVentureCity, with additional funding from investors in Silicon Valley, New York, and Berlin. The funding will accelerate the development of regulatory-compliant and secure Generative AI products and expand capabilities to aggregate a wider array of medical data and sensor data from over 600 devices [bf0dd5bb].

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