Artificial Intelligence

CENTOGENE Joins Forces With Insilico Medicine for Niemann-Pick Disease Type C (NPC) Target Discovery, Applying Artificial Intelligence (AI) to Accelerate Orphan Drug Development

Published

2 years ago

January 20, 2022

CENTOGENE and Insilico Medicine will work together to identify, rank, and annotate proteins to identify novel therapeutic targets for NPC using AI
NPC is a rare genetic disease occurring in approximately 1 in 120,000 live births, with many cases going mis- or undiagnosed
There are currently no FDA-approved treatments for NPC

CAMBRIDGE, Mass. and ROSTOCK, Germany, and BERLIN, Jan. 20, 2022 (GLOBE NEWSWIRE) — Centogene N.V. (Nasdaq: CNTG), a commercial-stage company focused on generating data-driven insights to diagnose, understand and treat rare diseases, and Insilico Medicine, an end-to-end Artificial Intelligence (AI) -driven drug discovery company, today announced a research and development collaboration to accelerate the discovery of novel therapeutic targets for Niemann-Pick disease type C. The duration of the research collaboration will initially last 20 weeks.

As the framework for the collaboration, CENTOGENE will leverage its Bio/Databank with multiomic patient data and NPC cell lines (for transcriptomic data and validation of identified candidates), through the use of Insilico’s comprehensive novel target discovery AI platform for the identification of differential metabolites, pathways, and genetic modifiers. Both Companies will analyze identified targets before pursuing validation in CENTOGENE’s cellular models, and CENTOGENE will retain exclusive rights to any intellectual property generated by the research.

“I am thrilled by the collaboration between CENTOGENE and Insilico. With the power of AI, we will accelerate the analysis and knowledge discovery of multiomic data from patients affected with NPC,” said Patrice Denèfle, Chief Scientific Officer at CENTOGENE. “Using relevant human cellular models, we hope to crack the code and validate meaningful and valuable insights on a disease for which no cure has been found over the past decades using traditional pharma approaches.”

“CENTOGENE’s rare disease-centric Bio/Databank is unique in the richness of the data it holds. By leveraging Insilico’s powerful proprietary AI platform, PandaOmics, with the multiomic research data from CENTOGENE, I hope our collaboration will result in the discovery of a therapeutic target for NPC,” said Alex Zhavoronkov, Ph.D., Founder and CEO of Insilico Medicine. “Ultimately we want to improve the quality of life for those affected by the disease and bring tangible hope to thousands of NPC patients around the world.”

If the research demonstrates translational robustness, a further stage of drug development would become accessible – identifying molecules that act on the identified targets. AI-based methods are expected to accelerate this process – ultimately turning years into months for both the target-to-hit and hit-to-lead phases.

“We are excited to be working together with Insilico as we seek to identify novel therapeutic targets for NPC,” added Carsten Ullrich, Ph.D., Senior Director of Artificial Intelligence at CENTOGENE. “Combining both CENTOGENE’s expertise in multiomics and unique global insights from the world’s largest NPC cohort with Insilico’s next-generation AI platform has the potential to enable an accelerated cure for this rare and often rapidly progressing disease.”

To learn more about CENTOGENE’s AI Program, visit: https://www.centogene.com/science/artificial-intelligence-initiative.html

This collaboration represents another significant step forward for CENTOGENE’s mission to enable the cure of 100 rare diseases within the next 10 years. To learn more, visit: https://www.centogene.com/virtual-investor-event

About Niemann-Pick Disease Type C (NPC)

Niemann-Pick disease type C (NPC) is a genetic lipid storage disease caused by mutations in the NPC1 and NPC2 genes that lead to a heterogeneous spectrum of symptoms. This may include ataxia, dystonia, vertical supranuclear gaze palsy, severe liver disease, and interstitial lung disease, among others.

Onset may occur at varying ages, from neonatal to adulthood. Life expectancy is reduced, and the estimated incidence is approximately 1 in 120,000 births. It is important to note that many cases go mis- or undiagnosed – creating difficulty around determining the true frequency of NPC.

About Insilico Medicine

Insilico Medicine, an end-to-end artificial intelligence-driven drug discovery company, is developing artificial intelligence platforms. These platforms use deep generative models, reinforcement learning, transformers, and other modern machine learning techniques for novel target discovery and the generation of novel molecular structures with desired properties. Insilico Medicine is developing breakthrough solutions to discover and develop innovative drugs for cancer, fibrosis, infectious diseases, autoimmune diseases, and aging-related diseases. For more information, please visit www.insilico.com.

About CENTOGENE

CENTOGENE engages in diagnosis and research around rare diseases transforming real-world clinical, genetic, and multiomic data to diagnose, understand, and treat rare diseases. Our goal is to bring rationality to treatment decisions and to accelerate the development of new orphan drugs by using our extensive rare disease knowledge and data. CENTOGENE has developed a global proprietary rare disease platform based on our real-world data repository of over 600,000 patients representing over 120 different countries.

The Company’s platform includes epidemiologic, phenotypic, and genetic data that reflects a global population, as well as a biobank of patients’ blood samples and cell cultures. CENTOGENE believes this represents the only platform focused on comprehensive analysis of multi-level data to improve the understanding of rare hereditary diseases. It allows for better identification and stratification of patients and their underlying diseases to enable and accelerate discovery, development, and access to orphan drugs. As of December 31, 2020, the Company collaborated with over 30 pharmaceutical partners.

Forward-Looking Statements

This press release contains “forward-looking statements” within the meaning of the U.S. federal securities laws. Statements contained herein that are not clearly historical in nature are forward-looking, and the words “anticipate,” “believe,” “continues,” “expect,” “estimate,” “intend,” “project,” and similar expressions and future or conditional verbs such as “will,” “would,” “should,” “could,” “might,” “can,” and “may,” are generally intended to identify forward-looking statements. Such forward-looking statements involve known and unknown risks, uncertainties, and other important factors that may cause CENTOGENE’s actual results, performance, or achievements to be materially different from any future results, performance, or achievements expressed or implied by the forward-looking statements. Such risks and uncertainties include, among others, negative worldwide economic conditions and ongoing instability and volatility in the worldwide financial markets, the effects of the COVID-19 pandemic on our business and results of operations, possible changes in current and proposed legislation, regulations and governmental policies, pressures from increasing competition and consolidation in our industry, the expense and uncertainty of regulatory approval, including from the U.S. Food and Drug Administration, our reliance on third parties and collaboration partners, including our ability to manage growth and enter into new client relationships, our dependency on the rare disease industry, our ability to manage international expansion, our reliance on key personnel, our reliance on intellectual property protection, fluctuations of our operating results due to the effect of exchange rates, our ability to streamline cash usage, our requirement for additional financing and our ability to continue as a going concern, or other factors. For further information on the risks and uncertainties that could cause actual results to differ from those expressed in these forward-looking statements, as well as risks relating to CENTOGENE’s business in general, see CENTOGENE’s risk factors set forth in CENTOGENE’s Form 20-F filed on April 15, 2021, with the Securities and Exchange Commission (the “SEC”) and subsequent filings with the SEC. Any forward-looking statements contained in this press release speak only as of the date hereof, and CENTOGENE’s specifically disclaims any obligation to update any forward-looking statement, whether as a result of new information, future events, or otherwise.

Related Topics:AI Artificial Intelligence Machine learning

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Artificial Intelligence

VeriPark and FICO Announce Strategic Partnership to Transform Financial Services

Published

5 mins ago

June 26, 2024

CISION (PR Newswire)

ISTANBUL, June 26, 2024 /PRNewswire/ — VeriPark and FICO have launched a partnership to revolutionize the financial services sector through AI-driven decision making and digital transformation.

The collaboration between VeriPark, a global provider of innovative digital solutions, and FICO, a renowned analytics software company, will enhance decision-making and promote financial inclusion across Turkey, the Middle East, Africa, Asia and CIS regions.
Combining FICO’s decision automation, optimization and omnichannel communications capabilities with VeriPark’s customer engagement, omni-channel delivery, branch automation and loan origination solutions, the partnership aims to improve customer experience and accelerate digital transformation.
“We are excited to bring FICO’s cutting-edge technology to our region. This collaboration will enhance customer experiences and operational efficiency across the financial services sector. Integrating FICO’s technology with our solutions represents a significant leap forward, ensuring we stay ahead in a rapidly changing environment. We look forward to showcasing our joint success stories soon,” said Ozkan Erener, CEO of VeriPark.
“The combination of FICO and VeriPark’s strengths brings a unique blend of innovation to the market. Our goal is to help build a better society by bringing more people into the banking system, and our partnership with VeriPark is a critical step towards achieving that. FICO has been working with AI since 1992, and we are eager to introduce this long-standing expertise to businesses in this region through our collaboration with VeriPark.” said Alexandre Graff, Vice President of Global Partners & Alliances, FICO.
About VeriPark (https://www.veripark.com)VeriPark is a global solutions provider enabling financial institutions to become digital leaders with its Intelligent Customer Experience suite. With offices located in United Kingdom, Europe, the United States & Canada, Asia, Africa and the Middle East, VeriPark is helping businesses to enhance their customer acquisition, retention and cross-sell capabilities by providing proven, secure and scalable Customer Relationship Management, Omni-Channel Delivery, Branch Automation, and Loan Origination solutions.
About FICO (https://www.fico.com/)FICO powers decisions that help people and businesses around the world prosper. Founded in 1956, the company is a pioneer in the use of predictive analytics and data science to improve operational decisions. FICO holds more than 200 US and foreign patents on technologies that increase profitability, customer satisfaction and growth for businesses in financial services, insurance, telecommunications, health care, retail and many other industries.
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Artificial Intelligence

Altair Names Devoteam Channel Partner for the EMEA Region

Published

5 mins ago

June 26, 2024

CISION (PR Newswire)

altair-names-devoteam-channel-partner-for-the-emea-region

Devoteam to offer Altair’s leading data analytics and AI solutions throughout the EMEA region
TROY, Mich., June 26, 2024 /PRNewswire/ — Altair (Nasdaq: ALTR), a global leader in computational intelligence, is thrilled to welcome Devoteam as a new channel partner for the EMEA region. Within the partnership, Devoteam will offer Altair’s leading data analytics and artificial intelligence (AI) solutions to its customers throughout the EMEA region.

“Partnering with Devoteam underscores our dedication to shaping the future of technology,” said Kimon Afsaridis, managing director of Eastern Europe and vice president of indirect EMEA sales, Altair. “This partnership marks a pivotal moment in our global expansion strategy, reinforcing our mission to lead and innovate in AI and beyond.”
“Together, Devoteam and Altair will help industrial companies harness the power of data to improve their efficiency, productivity, and competitiveness,” said Pablo Martin, industry and retail business unit director, Devoteam. “This collaboration is an important step in our commitment to help companies, particularly in the industrial sector, better their digital transformation efforts.”
Devoteam boasts more than 25 years of passion for tech and more than 11,000 tech-native specialists in offices in 25 countries. The company believes that technology combined with strong human values can drive change for the better, and specializes in managing large-scale projects while remaining agile enough to deliver customized solutions.
Altair works with a global network of channel and technology partners. To learn more or to become a partner, visit https://altair.com/altair-partners.
About Altair
Altair is a global leader in computational intelligence that provides software and cloud solutions in simulation, high-performance computing (HPC), data analytics, and AI. Altair enables organizations across all industries to compete more effectively and drive smarter decisions in an increasingly connected world – all while creating a greener, more sustainable future. To learn more, please visit https://www.altair.com.
Media contacts
Altair Corporate
Altair Investor Relations
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+1.216.769.2658
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Artificial Intelligence

IBM Study: Fan Engagement and Consumption of Sports Shifting, Reveals New Opportunities for Technology Integrations including AI

Published

5 mins ago

June 26, 2024

CISION (PR Newswire)

ibm-study:-fan-engagement-and-consumption-of-sports-shifting,-reveals-new-opportunities-for-technology-integrations-including-ai

International sports fans surveyed are optimistic about the impact of technologies like AI on their digital sports experiences.Real-time updates and personalized content rank as top priorities for fans when it comes to how generative AI can enhance following and engaging with sports events.Younger sports fans overwhelmingly embrace AI-powered experiences and digital platforms for sports content consumption and engagement.ARMONK, N.Y., June 26, 2024 /PRNewswire/ — As sports fans worldwide tune in to a myriad of athletic events this summer, new research commissioned by IBM (NYSE: IBM) reveals a growing generational shift and acceptance of technology-driven experiences that will impact the future of sports consumption.

The international study*, conducted by Morning Consult, gathers insights from more than 18,000 sports fans across 10 countries to better understand both how they follow and engage with sports, including live coverage, highlights, and summaries, as well as preferences for future engagement and consumption. The findings confirm that fans are prioritizing more personalized and time-saving digital sports content, with the majority recognizing the positive impact technologies like artificial intelligence (AI) will have on these experiences.
The data also confirms that younger sports fans are more likely to favor AI-enhanced features as they increasingly turn to digital platforms for sports content. Surveyed fans aged 18-29 are using a mobile phone or tablet as their primary device to watch sporting events more often than older fans, with subscription streaming of live sporting events being most popular among the younger age group. More than half (58%) of 18-29 year old respondents also believe AI will have a positive impact on sports.
Alternatively, respondents from older age groups remain loyal to traditional methods of consumption, with linear broadcasting being most popular among fans 45+. Forty percent of surveyed fans over the age of 55 believe AI will have a positive impact on sports.
“Fans worldwide are continuing to embrace platforms and solutions that allow them to feel more connected and informed on their favorite sporting events and athletes, and IBM’s new study confirms this now includes embracing technologies like AI to deliver these experiences,” said Noah Syken, Vice President, Sports and Entertainment Partnerships. “IBM’s longstanding portfolio of Sports and Entertainment partnerships aims to deliver on these expectations from fans by putting in the hands of our partners the most advanced IBM technologies from our AI and data platform watsonx.”
Other key study findings include:
Fans are optimistic about the impact of technology on sports, paving the way for generative AI powered experiences
63% of respondents point to data analytics as having the most positive impact on sports, while 50% of respondents think AI will have a positive impact.When it comes to how generative AI can improve engagement, surveyed sports fans identify real-time updates (34%) and personalized content (29%) as the top priorities.India, UAE and Saudi Arabia rank the highest in countries where fans are prioritizing real-time updates and personalized content powered by generative AI.Fans now prioritize personalized, bite-sized content when it comes to their consumption of sport content
More than half (56%) of respondents turn to social media for additional sports content; 46% are getting additional content from broadcast/video news while 35% are turning to news articles.64% of those fans engaging in additional sports content are viewing highlight videos of best moments; 48% are consuming post-match recaps and analysis.Among those engaging in additional sports content, respondents rank summarized content (33%) as their top priority followed by personalized content (26%).Sports fans are watching event summaries more often, with 41% of respondents indicating they watch summaries or highlights weekly; 24% report daily engagement.Younger fans may be reshaping how consumers experience sports content, as they engage with content via multiple screens and are more likely to favor AI-powered enhancements
Younger fans (18-29) are most likely to view sports highlights through social media over other platforms.When it comes to consuming sports content, fans aged between 18-29 are more likely to rank personalized content as their top priority.Fans aged 18-29 are more likely to rate AI improvements as high priority, with real-time updates (40%) and personalized content (36%) topping the list of priorities.While real-time updates (26%) and personalized content (19%) also top the list of AI improvement priorities among older fans (55+), these respondents are much less likely to consider AI improvements a high priority.Younger fans are also more likely to be using multiple devices while engaging with sporting events than older fans (55+). 10% of younger fans surveyed use three or more devices while watching sports compared to only 2% of older fans.While TV is the most common method for viewing sports, fans are increasingly using multiple devices to follow sporting events
64% of surveyed fans say linear or streaming TV is their top choice for watching sports.31% of respondents say they are most likely to watch a live sporting event on linear broadcast; 28% say they use a subscription streaming service and 23% use a free streaming serviceSubscription streaming of live sporting events is most popular among younger fans aged between 18-29.Mobile devices are a noteworthy alternative for watching sports, with 20% of consumers reporting it is the top way they watch sporting events and 38% saying it is their second most likely options.28% of surveyed sports fans use at least two devices while watching sporting events; 24% report they use at least two devices while listening to sportsFans between 18-44 are more likely to be using three or more devices.Respondents rank multi-tasking as the top reason for using multiple devices when consuming sports, followed by finding more game information while watching or listening to the sport.To view the full study, visit: https://newsroom.ibm.com/image/IBM+Global+Sports+Attitudes+and+Behaviors+Report+June+2024.pdf
*Study MethodologyThis survey was conducted in May 2024 among a total sample of 18,082 sports fans 18+ in the US, Canada, the UK, France, Germany, Italy, Spain, India, the UAE, and Saudi Arabia. The interviews for each country were conducted online, and the data is unweighted, with ~2,000 responses per market in the US, Canada, the UK, France, Germany, Italy, Spain, and India and ~1,000 responses per market in the UAE and Saudi Arabia.
To qualify for this survey respondents must be at least an average sports fan and follow one or more of the following sports: Soccer, Cricket, Tennis, Basketball, Baseball, Rugby, Golf, American football, F1 racing, Track and field, Swimming, and the Olympics.
About IBMIBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Thousands of government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM’s hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM’s breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM’s long-standing commitment to trust, transparency, responsibility, inclusivity and service. Visit www.ibm.com for more information.
Media Contacts:
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