BERLIN/LONDON, April 8, 2020 - Aladdin Healthcare Technologies SE (“Aladdin”, ISIN: DE000A12ULL2) outperformed in the first quarter 2020 and achieves major milestones earlier than planned. The Company has developed two proprietary Knowledge Graphs to discover new disease and virus mechanisms enabling a faster drug development through the collaboration with many pharmaceutical companies. Aladdin has also made further progress in significantly contributing to stop the COVID-19 expansion by implementing its AI tools.
- Minimum Viable Product (MVP) for Alzheimer’s Disease Diagnosis Tool completed
- Development and implementation of Knowledge Graphs for COVID-19 and age-related diseases
- Health Risk Assessment Tool (HRA) for real-time risk management of COVID-19 built
- Successful development of a safe Temperature Screening System for mass health surveillance
- Software focused on age-related diseases for Wearables developed
Aladdin Healthcare achieves further milestones in the development of Artificial Intelligence (AI) based health monitoring tools in the first quarter of 2020. The company is already well ahead on its own strategic plan.
Alzheimer´s Disease Diagnosis Tool completed
Aladdin is one of the first companies in the world using Artificial Intelligence (AI) with multi-modal data. The Company has succeeded in building a platform for the early diagnosis of Alzheimer´s Disease (AD) and other age-related diseases, surpassing the clinical AD practice accuracy for early diagnosis. This has been accomplished by combining world’s leading biobank data with Aladdin´s high level of expertise in the field of medical AI applications to construct a large-scale knowledge graph. The MVP for Alzheimer´s Disease Diagnosis Tool has been already completed in the first quarter 2020, leading the Company to be the only actor on the market with no competitor at a global level. Aladdin´s tool is being validated by several academic and medical partners, including the University of Oslo in Norway, the University of Cambridge in UK and several hospitals globally.
Blood Test Based Diagnosis
Based on blood test result, the software has utilised Aladdin’s AI to determine the patients’ risk of having Alzheimer’s Disease. The images below display the results for a healthy patient and an AD patient.
Image 1: Diagnosis for a healthy individual based on the blood test results.
Image 2: Diagnosis for a patient with AD based on the blood test results.
Image 3: Different biomarkers contribute towards the machine learning model. Aladdin´s multimodal AI model is influenced by different previously unused and unknown biomarkers, which are displayed below.
Brain Image Diagnosis
From brain MRI scans, as displayed in the image below, the AI has highlighted (in blue) the lesion areas for review by the doctors. The AI cloud platform provides a user friendly interface for doctors, as leading scientists and experienced doctors have led the advice over the development over the „look and feel“ of the software.
Image 4: Automatic assessment of the potential disease areas by the AI model.
A knowledge graph is a graph-structured knowledge database, where facts are represented in the form of relationships between and from different data providers. In a knowledge graph, entities (nodes) are related to each other by means of the so-called edges and are contextualized thematically. Aladdin´s AI team, through the use of advanced text mining techniques, was able to extract biomedical knowledge from over 30 million research articles and to construct a large scale knowledge graph with more than 800 thousand entities and over 10 million edges among diseases, targets, compounds, biomarkers and genes.
Image 5: A visualisation of Alzheimer’s Disease knowledge graph. From medical, scientific literature and research, Aladdin has used advance deep learning technology and natural language processing technology to generate the AD centric knowledge graph, which highlights the relationship between AD, disease, genes and drugs.
Wade Menpes-Smith, CEO of Aladdin Healthcare Technologies SE comments: “Our AI-powered literature review algorithm can process thousands of published literature papers and establish the key relationships between various diseases and risk factors. This culminates in the construction of our unique knowledge graph. We will be able to optimise our models considerably over the next 12 months to significantly increase the reliability and efficiency of diagnoses. Early stage diagnosis is a critical factor in the development of highly effective drugs.”
AI-powered Tools against COVID-19 validated
Aladdin has taken a further step in fighting against the coronavirus pandemic by constructing a COVID-19 centric knowledge graph through the text mining of over 47 thousand scholarly articles about COVID-19, SARS-CoV-2, and related coronaviruses.
Wade Menpes-Smith, CEO of Aladdin Healthcare Technologies SE adds: “By using the latest Big Data and AI technology, we want to deliver and create a network of answers to the most urgent questions in the fight against the coronavirus pandemic. This includes further information on the transmission, incubation and environmental stability of COVID-19, as well as data about risk factors, genetics, origin and further development. At the same time, we hope to build a larger knowledge base of potential vaccines and therapeutics.”
Image 6: A visualisation of COVID-19 knowledge graph. The COVID-19 knowledge graph has been developed on scientific literature and medical data. Resulting in the medical world being able to discover hidden patterns which were previously unknown. Aladdin is currently co-operating with universities around the world to improve the research speed for tackling the COVID-19.
Aladdin is now constantly oriented to significantly contribute to stop the COVID-19 expansion and save millions of lives by implementing its AI tools and its technical expertise.
As already announced at the end of March, Aladdin partnered with a China hardware technology company, to develop a novel system which delivers an AI-powered Body Temperature Screening with the ability to offer mass health surveillance, detecting individual temperatures in crowds without using a temperature gun or manually checking.
Furthermore, Aladdin launched a “Health Risk Assessment Tool (HRA)” as web and mobile application to manage risk assessment of potential COVID-19 suspect cases and patients for global use. The AI application provides users with a real-time risk assessment of individuals infected with coronavirus, combining Artificial Intelligence with augmented reality.
Development of software for wearables for age-related diseases
Furthermore, Aladdin was able to successfully accomplish the development of an age-related disease focused software that can be installed on third-party wearable devices, such as Fitbits and Apple Watches. This AI-based software is tailored to the needs of patients with age-related diseases and can monitor multiple vital signs and functions. In order to first validate and then implement the software, the Company is actually working on securing commercial partnerships.
More information about the Company´s milestones for the first quarter 2020, supported and explained by charts and graphics can be found at aladdinid.com/press-releases
About Aladdin Healthcare Technologies SE
Aladdin Healthcare Technologies SE (and its wholly owned subsidiary Aladdin Healthcare Technologies Ltd.) is a leading developer of AI healthcare diagnostics and drug discovery applications that can accelerate both early stage disease diagnosis and the end-to-end drug discovery process. Aladdin targets aged related disease including a significant focus on Alzheimer’s disease, with the technology also being applied to other indications such as COVID-19 Coronavirus. Aladdin accomplishes this by collaborating with numerous partners within the global healthcare ecosystem to confidentially and securely gather targeted data including, genome, tabular, MRI, PET, cognition and other lifestyle data. These datasets are then analysed by the award-winning AI team and used to develop proprietary AI tools that can assist healthcare professionals to more accurately and efficiently diagnose aged related diseases. This new diagnostic process will save significant time and costs for healthcare professionals. Additionally, the AI drug discovery platform will be used by pharmaceutical Companies to speed up drug development, clinical trials and predict outcomes more accurately.
Website Link: www.aladdinid.com
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