Digital Transformation in Healthcare - Healthcare is undergoing digital transformation with paperless hospitals and automated processes like blood analysis [2] - Accumulated data facilitates predictive analytics, forecasting patient needs weeks or months in advance [4] Future Medical Systems Requirements - Future medical systems need to be adaptive, sustainable, and equitable, integrating technology for everyone's benefit [5][6] - Systems should anticipate individual patient demands upon arrival, personalizing treatment and tests [9] - Addressing patient flow peaks, such as during respiratory virus seasons, is crucial [7] The Role of Algorithms - Algorithms are already improving diagnostics through image enhancement in ultrasounds and CT scans [4] - Algorithms alone cannot design future-ready medical systems; empathy is essential [8][20] - Hybrid models using AI chatbots for preliminary assessments can prepare clinicians and augment empathy [18][19] Ethical Considerations - Respect for patient autonomy is necessary, allowing individuals to opt out of data collection and analysis [12] - Balancing efficiency with human experience is critical, as current systems prioritize efficiency [16] - Empathy should be a measurable design metric, tested for its ability to detect and respond to patient feelings [22] Co-creation and the Future - Co-creation with clinicians, patients, researchers, and engineers is vital for capturing diverse perspectives [23] - The goal is to use data to restore the human touch in medicine, enabling algorithms to design future-ready systems [23]

This is a data point. But helping George Russell drive right to the podium is the real point of data. Together, we are driven to advance. ...

RT Bloomberg New Economy (@BBGNewEconomy)"There are certain assets which have now become, or been deemed, national security assets. Code, semiconductors, data and cloud and those assets are going to fragment," @HSBC Georges Elhedery #BloombergNewEconomy @flacqua⏯️ https://t.co/Sqkf8dKmnN https://t.co/dKKovB2Dhp ...

RT Orca 🌊 (@orca_so)Orb by @heliuslabs is now integrated on Orca.A new standard for reading Solana's data.Here's how to switch↓ https://t.co/z3mh1Sfb7k ...

Digital Transformation Challenges - 70% to 80% of projects fail due to improper planning, not technological difficulties [4] - Lack of clear vision and strategy leads to digital project failures [4][5] - Digital initiatives failing to align with business objectives results in project failure [5] - Isolated organizational structures and lack of inter-departmental collaboration hinder data sharing and project execution [6] - Inadequate data management and legacy systems incompatible with new digital technologies impede data sharing [7] - Insufficient data availability, especially for AI-driven initiatives, leads to project failures [8] - Underestimation of cost, time, and effort for digital transformation programs, coupled with pressure on ROI, can cause impatience and project failure [9] Key Success Factors for Digital Transformation - Empowering employees with the right insights derived from sufficient data is crucial for timely decision-making [12] - Implementing systems that adapt and learn from past data is essential to avoid obsolescence [13] - Adapting processes to accommodate new modern data technologies is necessary for successful technology adoption [13][14] - Data sits at the center of people, process, and technology, coordinating to provide the right insights at the right time [14] - Automating processes with digital technologies minimizes human intervention and accelerates work [15]

AI在医疗健康领域的应用 - AI与前沿科学和医生合作，推动医疗健康领域发展[2] - AI能够分析生活方式、活动、睡眠、空气质量和疾病发生等数据，从而更好地预测癌症、心脏病和2型糖尿病等疾病[6] - AI可以辅助医生进行扫描，帮助发现肿瘤，并协助医生记录，从而实现更人性化的互动[6][7] - AI可以通过面部微表情和视线模式来量化抑郁症，目前正在英国国民健康服务体系中针对产后妇女进行试验[7] - AI驱动的药物发现和个性化治疗正在兴起，这意味着能够更有效地靶向肿瘤，同时减少对患者的伤害[10][11] 癌症诊断与治疗 - 行业专家认为，AI将在癌症的诊断和治疗方面带来最大的变革，因为癌症存在诸多变量，如肿瘤的遗传学、位置、阶段、患者的遗传学，甚至微生物组[8] - 血液检测将越来越多地用于筛查多种癌症，更有针对性的筛查活动将更早地发现更多癌症，从而可以更好地治疗[9] 数据的重要性 - 数据是AI的燃料，需要高质量、适用且统一[14] - 基因组测序的成本已大幅降低，但关键在于如何利用这些数据[14][15] - Genomics England正在对10万名有患罕见疾病风险的婴儿进行基因组测序，及早发现可以避免失明等情况[16] 可穿戴设备与健康 - 可穿戴设备可以收集大量关于个人的数据，帮助人们了解自身健康状况的基线[17][18] - 可穿戴设备虽然不是医疗设备，但可以帮助人们发现身体模式的变化，从而及早发现健康问题，例如心脏病甚至癌症[19] - 睡眠模式的改变可能在痴呆症症状出现前20到30年就已发生，因此，如果能够识别这些数据中的模式，就有机会采取行动[20] 医疗的最终目标 - 医疗的目标不仅是延长寿命，还要提高生活质量，保持身心健康[24] - AI有潜力将医疗体系从“疾病护理”转变为“健康护理”，并为所有人提供服务[24]

[Music] [Applause] [Music] Whoever becomes the leader in AI will be the ruler of the world. I didn't say that. Vladimir Putin did all the way back in 2017.If you look throughout history, the greatest civilizations have always been tied to technology and sovereignty has always been tied to technology as has power. So the greatest risk of our time isn't in my view inflation, market instability or even war in the conventional sense. It's that we democracies fail to re-imagine what a technological republic look ...

Fund Overview - WisdomTree, a global asset manager with over $130 billion AUM, has adopted Chainlink to provide institutional-grade NAV data onchain for its CRDT tokenized fund on Ethereum [1] - The CRDT fund offers exposure to a diversified portfolio of liquid private credit and alternative income instruments, tracking the Gapstow Liquid Alternative Credit Index (GLACI) [1] Technology and Transparency - By using Chainlink, WisdomTree enables subscriptions and redemptions through its Prime and Connect platforms, ensuring institutional-grade transparency, auditability, and interoperability [2] - Verified NAV data on Ethereum via Chainlink allows DeFi protocols and institutional platforms to reference CRDT's valuation in smart contracts [3] Potential Use Cases - The availability of CRDT's valuation data unlocks new use cases across lending, yield aggregation, and automated portfolio management [3]

RT Validated (@ValidatedPod)New @ValidatedPod just dropped featuring our most requested repeat guest:Kevin Bowers from @jump_ 🦬In this episode, Kevin returns to explain Jump's expansion from trading to core infrastructure, centered on what he calls the "great inversion": the real bottleneck in tech isn't compute, but data and I/O.@Austin_Federa and Kevin also discuss:+ Shelby, Jump’s new storage network+ How @jump_firedancer has helped scale @Solana+ Why FPGAs are the key to “getting close to the wire”Watch ...

Solana Data Redesign - Solana 历史/存档数据已被重新设计，旨在解决最大的数据/RPC问题 [1] - 新设计旨在将延迟降低 10 倍，RPC 调用减少 100 倍，代码减少 1000 倍 [1] Technical Improvements - 查询历史数据（getBlock/getTransaction/getSignaturesForAddress）不再直接访问 Google BigTable [1]