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The CHAIMELEON Open Challenges: a unique opportunity for European scientists to advance cancer research with AI

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  • The CHAIMELEON Open Challenges offer a unique opportunity for researchers to collaborate and develop new solutions that can significantly impact cancer diagnosis and treatment.
  • The CHAIMELEON (Accelerating the lab to market transition of AI tools for cancer management) project is funded by European Union’s Horizon 2020 research and innovation programme, which promotes scientific excellence, innovation, and international competitiveness.
  • Quibim will coordinate and oversee the open challenges, leveraging the company’s expertise in applying AI to cancer research and medical imaging.

VALENCIA, Spain, July 3, 2023 /PRNewswire/ — Cancer is the second leading cause of death in Europe1. With 3.7 million new cancer cases in Europe each year, it is clear that clinicians require innovative tools and resources to improve cancer diagnosis, therapy, patient selection, and prediction. Artificial intelligence (AI) has emerged as a promising technology that can support these goals. In the search for new AI opportunities to advance medical research and improve patient outcomes, the consortium partners of the EU-funded CHAIMELEON Project have created the CHAIMELEON Open Challenges.

The CHAIMELEON Open Challenges is a competition designed to train and refine AI models to answer clinical questions about five types of cancer: prostate, lung, breast, colon, and rectal. Participants are challenged to collaborate and develop innovative AI-powered solutions that can significantly impact cancer diagnosis, management, and treatment. They will be evaluated considering a balance between the performance of their AI algorithms to predict different clinical endpoints such as disease staging, treatment response or progression free survival and their trustworthiness. Those who take on the challenge can win a total prize pool of €20,000 per challenge, split amongst the winners, with €100,000 in prizes.

The CHAIMELEON Open Challenges offers a unique opportunity for researchers to collaborate and develop new solutions that can have a significant impact on cancer diagnosis and treatment. The registration for the challenges will open on July 3rd, 2023 and will be available until the end of August 2023. The challenges will be divided in two phases: the Classification Phase and the Championship Phase.

The Classification Phase will extend from July to September 2023. In this phase, any participant can join and download a highly controlled cancer dataset. The dataset will consist of post-processed (i.e., harmonised) images associated with specific clinical variables, ensuring a level playing field for all participants. The participants will train their AI models and compete to be among the top on the leaderboard.

The Championship Phase will extend from October to December 2023. In this phase the top 40 participants from the previous phase will be invited to compete on an even grander stage, using the CHAIMELEON platform to train their algorithms. This phase will include five different challenges, one for each cancer type (prostate, lung, breast, colon, and rectal), with a total prize pool of 20.000€ per challenge, split among the winners. Original images and associated clinical data, along with different image pre-processing and harmonization tools, will be available to participants who have passed the qualifying round cut-off point. The same computational resources will be assigned to each participant; therefore, each participant can decide which challenges to tackle and apply their strategies accordingly.

Quibim will be the leading specialised company managing the challenges, as it has vast experience in cancer research through AI. Ángel Alberich-Bayarri, CEO and co-founder of Quibim, says, “The excitement of being part of this one-of-a-kind project is immense; we get to participate in what will be a significant step forward in cancer research. The CHAIMELEON Open Challenges are an encouraging opportunity for the scientific community because they will enable researchers to leverage the power of AI to develop new solutions.”

The challenges are open to the whole scientific and tech community interested in AI. They are a unique opportunity to showcase how AI can be used to advance medical research and improve patient outcomes within the CHAIMELEON project.

To learn more about CHAIMELEON Open Challenges, visit https://chaimeleon.eu/open-challenges 

About the project

The CHAIMELEON Project develops an EU-wide interoperable repository that will enable researchers, data scientists, and clinicians to develop and validate AI tools for improved cancer management. It aims to create a cloud-based data repository of cancer images. This repository will have multimodality imaging and related clinical data from patients diagnosed with lung, breast, prostate, and colorectal cancers, making it one of the most comprehensive of its kind in Europe. The project brings together a consortium of 18 organisations across Europe, including research institutions, hospitals, and companies specialising in AI and medical imaging:  Fundación para la Investigación del Hospital Universitario la Fe de la Comunidad Valenciana (ES), Universita di Pisa (IT), Universita Degli Studi di Roma la Sapienza (IT), Centro Hospitalar Universitário de Santo António (PT), Policlinico San Donato (IT), College des Enseignants de Radiologie (FR), Universiteit Masstricht (NL), Charité Universitätsmedizin Berlin (DE), Imperial College London (UK), Ben-Gurion University of the Negev (IL), Universitat Politècnica de Valencia (ES), GE Healthcare (DE), Quibim (ES), Medexprim (FR), Bahia (ES), Matical Innovation (ES), European Institute of Biomedical Imaging Research (AT), Universitat de Valencia (ES).

1 Eurostat. (March 2023). Causes of death statistics. Statistics Explained.

About Quibim

Quibim was born from the ambition of transforming imaging into a catalyst for precision health. They do this by designing pioneering tools that unlock imaging data to improve patient outcomes. The brand is linked to company values, based on a deep understanding of the modern science of imaging data and finding a way to transform this data into actionable predictions. To achieve this, Quibim partners with top-tier biopharma companies to detect pathologies early and to predict outcomes in oncology/immunotherapy, immunology, inflammation, and neurology using MRI, CT, and PET imaging, leading to new regulatory cleared Medical Devices marketed to healthcare providers. The company is specialised in the development of AI models created by the use of real-world evidence (RWE) projects and biopharma partners to extract new insights from images; thereby developing novel quantitative imaging biomarkers to deeply analyse disease mechanisms, advance drug development, and monitor treatment progress using a whole-body approach.

Quibim leads RWE studies with 100M+ de-identified research imaging registries from 150.000+ oncology patients.

EU funding

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 952172.

Disclaimer

Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Commission. Neither the European Union nor the granting authority can be held responsible for them.

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DTCC partners with Chainlink and JPMorgan to pilot blockchain integration for fund data

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As headlines spotlight spot Bitcoin (BTC) exchange-traded fund (ETF) flows and institutions revealing their exposure to BTC ETFs, financial service infrastructure providers are quietly integrating blockchain technology into their systems.

According to a recent report from the Depository Trust & Clearing Corporation (DTCC), the firm conducted a pilot program named Smart NAV in collaboration with Chainlink (LINK). This initiative aimed to extend the capabilities of DTCC’s Mutual Fund Profile Service I (MFPS I), the industry standard for transmitting ‘Price and Rate’ data, also known as ‘NAV data.’

DTCC’s Mutual Fund Services business currently operates MFPS I, offering fund companies an automated solution to deliver prices and daily distribution rates to numerous clients for tens of thousands of mutual fund securities. Traditionally, DTCC collects price and rate data from funds/service providers and distributors, then aggregates and disseminates it at regular intervals through its message queue (MQ) and file-based methods.

The Smart NAV Pilot served as a digital extension of the existing MFPS I service, aiming to broaden and complement its current capabilities. DTCC recognized the growing interest in mutual fund tokenization and saw an opportunity for on-chain price and rate data to facilitate new initiatives. Taking a ‘chain-agnostic’ approach, meaning the ability to disseminate NAV data across virtually any blockchain, was crucial for enabling other use cases to build upon Smart NAV’s foundations.

Ten market participants, including major names like American Century Investments, BNY Mellon, and JP Morgan, collaborated with DTCC and Chainlink on the pilot. They evaluated the feasibility and industry value of implementing a distributed ledger technology (DLT)-based price and rate dissemination solution to unlock new benefits and support experimentation in the asset management space.

The pilot results demonstrated that delivering structured data on-chain and establishing standard roles and processes enabled foundational data to be integrated into various on-chain use cases, such as tokenized funds and bulk consumer smart contracts. This capability can fuel future industry exploration and empower numerous downstream use cases, including brokerage portfolio applications.

The simplest application of Smart NAV is to provide trusted, verifiable data on virtually any blockchain network to support its use in business workflows. During the pilot, DTCC acted as both the provider and governor of the on-chain data solution, while Chainlink’s CCIP served as the interoperability layer. The core capability explored is adaptable across a wide range of use cases, potentially enhancing operational efficiency and streamlining processes.

Based on the positive findings, DTCC sees an opportunity to expand the scope of the pilot to explore broader use cases beyond price and rate data dissemination and across more blockchains.

Source: kitco.com

The post DTCC partners with Chainlink and JPMorgan to pilot blockchain integration for fund data appeared first on HIPTHER Alerts.

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Is Donald Trump’s Recent Crypto-Friendly Stance Genuine Or Opportunistic? Experts Weigh In

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Presidential candidate Donald Trump recently made a surprising endorsement of crypto, suggesting that he would ease hostility towards cryptocurrencies in the US if re-elected.

Trump stated, “If we’re going to embrace it, we have to let them be,” and urged crypto supporters to vote for him. This marks a significant shift from his previous criticisms of Bitcoin and other cryptocurrencies in 2019, where he labeled them as “not money” due to their volatility and lack of intrinsic value, expressing concerns about their potential use in illegal activities like drug trafficking.

Crypto’s Impact on Voter Preferences
With approximately 20% of American adults reportedly holding crypto, candidates are taking notice. Markus Levin of XYO Network sees embracing crypto and implementing solid regulation as a strategic move in elections and sound policy overall. He believes Trump’s apparent positive stance towards the industry will sway some voters in his favor.

Jonathan Thomas of Blueberry suggests that Trump’s crypto-friendly rhetoric may attract voters who prioritize crypto as a single-issue matter.

Skepticism Surrounding Trump’s Crypto Support
However, not everyone is convinced by Trump’s newfound endorsement of crypto. NFT enthusiast Thorne Melcher views it as “flimsy” and warns against the potential for conservative politics to restrict crypto due to its use in areas such as trans hormone replacement therapy and abortions.

While some may see Trump’s support for crypto as a reason to vote for him, others like Stephanie Vaughan of Veda caution against assuming substantial benefits from this endorsement alone. Vaughan highlights the Biden Administration’s hardline stance on crypto regulation by enforcement, which she believes is unworkable and could push voters towards Trump.

Trump’s Strategy to Attract Crypto Voters
Trump’s pivot from crypto skeptic to NFT enthusiast reflects a strategic move to appeal to voters interested in crypto. Vaughan suggests that many crypto-focused voters may have supported Biden in the last election, but Trump is actively courting them by recognizing the industry’s significance.

By acknowledging crypto’s growing influence on voters, Trump aims to draw support away from Biden, positioning himself as the candidate more aligned with the interests of the crypto community.

Source: cryptonews.com

The post Is Donald Trump’s Recent Crypto-Friendly Stance Genuine Or Opportunistic? Experts Weigh In appeared first on HIPTHER Alerts.

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droppGroup Unveils Platform with AI-Blockchain Integration

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droppGroup, a trailblazer in amalgamating blockchain and artificial intelligence, has unveiled droppLink, an innovative service platform poised to potentially revolutionize AI management and development across various blockchains. The architecture of droppLink empowers users with control over data contributions, abstracts computational requirements, and streamlines micropayments.

Stakeholders, dubbed Computational Resource Patrons (CRPs), contribute to the infrastructure costs and share profits from the facilitated AI operations.

As a web3 development firm, droppGroup specializes in deploying patented innovations in AI, machine learning (ML), object recognition, streaming, crypto, augmented reality (AR), virtual reality (VR), and mixed reality (MR). droppGroup is now advancing multi-modal AI systems with droppLink.

Gurps Rai, co-founder and CEO of droppGroup, explains that droppLink tokenizes each stage in an AI model’s lifecycle across multiple blockchains, such as Solana, Polygon, Ethereum, Base, and Hyperledger Fabric 2.5, ensuring unparalleled data integrity and expediting AI development.

Rai added, “This process upholds data ownership rights while establishing a transparent, immutable usage record via our Proof of Gen and Data Genesis protocols.”

Christopher J. Kelly, co-founder and president of droppGroup, underscores the company’s commitment to pushing the boundaries of multi-modal AI systems at the convergence of physical and digital realms, introducing cutting-edge solutions to the market.

Scheduled to speak on the monitoring and evaluation panel at the AWS Summit on May 22, Kelly will address topics like data integrity in AI and its alignment with the company’s mission.

With the AI market projected to reach $297 billion by 2027, ethical considerations such as data provenance, intellectual property protection, and fair compensation are paramount.

Accessible through droppPhygital, droppLink leverages multi-chain integration and robust tokenization to bolster data integrity. By melding blockchain technology with artificial intelligence, droppLink establishes an ethical management layer, aiming to reshape the AI landscape by fostering trust, transparency, and innovation.

Source: cryptotimes.io

The post droppGroup Unveils Platform with AI-Blockchain Integration appeared first on HIPTHER Alerts.

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