Semalytix

Semalytix is a patient experience data solution designed specifically for the Lifesciences industry. According to the vendor, this platform provides a range of features that cater to the needs of pharmaceutical companies, healthcare providers, clinical research organizations, biotechnology companies, and medical device manufacturers. Semalytix enables users to conduct observational patient experience research, validate commercial potential, enhance study design, complement Real-World Data strategies, and gain insights into patient journeys. Additionally, the platform offers advanced medical text summarization capabilities for efficient analysis of medical literature and patient data.

Key Features

Observational patient experience research: Semalytix allows users to generate comprehensive reports on quality-of-life, experienced symptoms, treatment experiences, and unmet needs. The vendor claims that this research is conducted efficiently and covers a large patient population.

Validate commercial potential: According to the vendor, Semalytix helps users determine the commercial potential of disease maps and new products by measuring unmet needs and quality-of-life burdens in disease-specific focus groups.

Improve study design and increase trial success: By utilizing natural language processing (NLP) and real-world patient experience data, Semalytix aims to enhance study design and increase the probability of trial success. The platform enables exploration and validation of clinical endpoints.

Complement Real-World Data strategies: Semalytix complements Real-World Data (RWD) strategies by providing access to a large archive of patient experience data. The vendor suggests that Semalytix can serve as a valuable resource for pharmaceutical stakeholders in meeting regulatory demands.

Experience-data-driven patient journeys: Semalytix allows users to enhance patient journeys by incorporating real-world patient stories. The platform enables analysis of patient experiences across different languages, countries, and time.

Medical text summarization: Semalytix utilizes advanced NLP and generative models to summarize medical literature, patient data, clinical trial documentation, and other free-form document sources. According to the vendor, this summarization capability enables efficient extraction of key information.

PatientGPT: Instant Patient-Centric insights in Lifescience: According to the vendor, PatientGPT allows users to interact with semi-synthetic patient populations based on real-world data. By incorporating authentic patient voices through a patient-tuned Large-Language Model, PatientGPT provides detailed insights into patients' experiences, unmet needs, reasons for discontinuation, emotions, and attitudes towards their disease and available treatment options.

Pharos Suite: The vendor claims that Pharos Suite offers a comprehensive platform for analyzing the global patient experience, developing evidence and insights, tracking brand health, and informing product strategy and R&D. Users can filter data by drug products, non-drug treatments, symptoms, quality-of-life facets, and demographic variables. Pharos Suite enables determination of unmet needs for any patient segmentation or drug product and facilitates the creation of representative patient personas and entire patient journeys.

HyperStream: According to the vendor, HyperStream captures real-time patient experience data from over 100 million online sources in multiple therapy areas and languages. It provides valuable patient and physician insights from online data sources.

Sphinx AI: Semalytix's Sphinx AI is an AI-framework designed for Lifescience. The vendor states that it anonymizes online data, ensuring GDPR compliance, and converts narratives into a faceted, longitudinal patient-experience dataset for any disease. Sphinx AI harmonizes fragmented evidence, identifies patient-reported outcomes and treatment experiences, and quantifies the relative importance, impact, and severity of symptoms and secondary disease burdens.