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Tag: Data economy

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Disrupting a $100 B market A Case Study on Decentralized Search for Clinical Trial Participants through a Networked Referral System in Poland

Disrupting a $100 B market: A Case Study on Decentralized Search for Clinical Trial Participants through a Networked Referral System in Poland

Clinical trials play a crucial role in advancing medical research and innovation, yet the process of recruiting participants presents significant challenges. Traditional recruitment strategies rely heavily on centralized databases or recruitment agencies, which often fail to reach individuals who could benefit from participation in clinical trials, thereby impeding research progress and treatment development. Moreover, the cost of patient recruitment for clinical trials is a significant component of the overall expenses, often comprising up to 40% of the total budget. On

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Enhancing Breast Cancer Patient Pathway through Data Donation A mid-term Case Study graphics Data Lake

Enhancing Breast Cancer Patient Pathway through Data Donation: A mid-term Case Study

Abstract This case study explores the successful implementation of Data Lake’s data donation technology by Donate Your Data Foundation in the context of breast cancer research in Poland, focusing on how it facilitated the collection of crucial information regarding the patient pathway and identified roadblocks in accessing therapy. The initiative involved collaboration between healthcare institutions, technology companies, and advocacy groups, leveraging the power of data to improve the overall quality of breast cancer care.

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Everything you need to know about $LAKE graphics Data Lake

Everything you need to know about $LAKE

Update The Data Lake team has effectively added liquidity for LAKE-ETH on December 7th, 2022, and LAKE became publicly tradable. The contract address of the LAKE token is: 0xF9Ca9523E5b5A42C3018C62B084Db8543478C400 👉 Get LAKE through our Token Panel. 👉Get LAKE on Uniswap.

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Is my Personal Data private graphics Data Lake

Is my Personal Data private?

The fact that data has an immense value in today’s society is now common knowledge, and as technologies that capture and analyze data proliferate, so do businesses’ and states’ abilities to collect and exploit data. It is therefore fundamental that we ask ourselves whether our data is really private or not, and whether there are solutions available to gain access and complete control over it. In this “data gold rush”, laws have struggled to keep up, and it has too

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AI as a means to prevent cancer the need for Medical Data graphics Data Lake

AI as a means to prevent cancer, the need for Medical Data

Cancer was the second leading cause of death, after heart disease, in the United States in 2020 1, and although its mortality is decreasing over the course of the decades (from 196.5 to 144.1 deaths per 100,000 population from 2001 to 2020 2), there is still plenty of margin of improvement. For example, lung cancer alone is responsible for two million deaths worldwide in 2019. About 75% of those who have it, die within five years of diagnosis. But the

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Data and the future of Healthcare graphics Data Lake

Data and the future of Healthcare

The future ahead: the potential of the use of data in medicine As of today, the key to a better organization and new developments has become data. The world around us is taking us down a path in which the more data we own, the better we can organize ourselves and deliver the most accurate outcomes. That is why data collection is an important part for many – if not all – fields, including the one of healthcare.

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What is the data economy and what part does Data Lake play in it graphics Data Lake

What is the data economy and what part does Data Lake play in it

Data economy In 2002, with the beginning of the digital age, global information storage capacity increased exponentially as hard disks and servers with massive capacities replaced floppy disks and CDs. With this revolution came the data economy; being the global interest – mostly by public and private companies – to gather, organize, exchange and broadly create value from data.

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