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Diseases of the pancreas can have serious consequences for patients and are difficult to diagnose. Early detection is crucial for the patient’s chance of survival. In Europe today, more than 90 percent of patients die of pancreatic cancer within the first five years after diagnosis. The Medi-Globe Group, a leading international MedTech company based in Achenmühle, Bavaria, will, in cooperation with the French Institut Hospitalo-Universitaire (IHU) Strasbourg, develop the world’s first AI software for the detection of diseases of the pancreas in endoscopic ultrasound (EUS) examination. The key technology here is artificial intelligence. As part of large-scale clinical studies prior to market introduction, the AI ​​software has now gone into clinical test with patients, so-called first-in-human applications.

“The new software has the potential to revolutionize the diagnosis of pancreatic diseases and, above all, the diagnosis of pancreatic cancer. That would be a dream for society as a whole and an important milestone in medicine and for medical technology,” says Prof. Dr. Leonardo Sosa Valencia, one of the leading gastroenterologists in the world and a top expert in the field of pancreatic disease detection.

The AI ​​software brings together the clinical experience of the world’s most experienced gastroenterologists. It bundles the knowledge from countless EUS examinations of the pancreas in an algorithm and transforms it into use in endoscopic ultrasound. The expert knowledge is used to train a neural network according to the deep learning method. For the diagnosis, it is crucial to recognize pathologically altered areas in the pancreas at an early stage so that a fine needle biopsy can accurately take tissue samples for further analyses and as basis for therapy decisions.

The original article was published at Business Wire.

The Boston Global Forum (BGF), in collaboration with the United Nations Centennial Initiative, released a major work entitled Remaking the World – Toward an Age of Global Enlightenment.   More than twenty distinguished leaders, scholars, analysts, and thinkers put forth unprecedented approaches to the challenges before us. These include President of the European Commission Ursula von der Leyen, Governor Michael Dukakis, Father of Internet Vint Cerf, Former Secretary of Defense Ash Carter, Harvard University Professors Joseph Nye and Thomas Patterson, MIT Professors Nazli Choucri and Alex ‘Sandy’ Pentland, and Vice President of European Parliament Eva Kaili.  The BGF introduced core concepts shaping pathbreaking international initiatives, notably, the Social Contract for the AI Age, an AI International Accord, the Global Alliance for Digital Governance, the AI World Society (AIWS) Ecosystem, and AIWS City.

AI-powered systems like natural language processing can be used to detect the crucial elements in unstructured data, transforming it into structured data that can be used to streamline a patient’s care journey and improve outcomes.

Artificial intelligence (AI) is one of the primary means for accomplishing this while also achieving greater efficiency, cost-effectiveness, and patient outcomes. One study showed that after the pandemic began, 84 percent of American healthcare systems began using AI or were planning to do so in 2020, up from 45 percent before the pandemic. The top uses were predictive analytics for early intervention, clinical decision support and improving patient care through collaboration among multiple specialists.

Specific to healthcare, AI-powered systems like natural language processing can be used to detect the crucial elements in unstructured data, transforming it into structured data that can be used to streamline a patient’s care journey and improve outcomes.

Consider radiology. Nearly three in every 10 Americans working in the field believe it could be made more efficient through the use of technology like AI. Indeed, AI can make CT and MR scans more precise, thereby freeing up technicians from image analysis and creating a more patient-centered experience.

Also, consider the manner in which AI can be used to predict and manage patient flow by using remote monitoring to determine where best to direct a given patient based on the seriousness of his or her condition or the availability of beds.

The Boston Global Forum (BGF), in collaboration with the United Nations Centennial Initiative, released a major work entitled Remaking the World – Toward an Age of Global Enlightenment.   More than twenty distinguished leaders, scholars, analysts, and thinkers put forth unprecedented approaches to the challenges before us. These include President of the European Commission Ursula von der Leyen, Governor Michael Dukakis, Father of Internet Vint Cerf, Former Secretary of Defense Ash Carter, Harvard University Professors Joseph Nye and Thomas Patterson, MIT Professors Nazli Choucri and Alex ‘Sandy’ Pentland, and Vice President of European Parliament Eva Kaili.  The BGF introduced core concepts shaping pathbreaking international initiatives, notably, the Social Contract for the AI Age, an AI International Accord, the Global Alliance for Digital Governance, the AI World Society (AIWS) Ecosystem, and AIWS City.

Developers of artificial intelligence must learn to collaborate with social scientists and the people affected by its applications.

Beginning in 2013, the Dutch government used an algorithm to wreak havoc in the lives of 25,000 parents. The software was meant to predict which people were most likely to commit childcare-benefit fraud, but the government did not wait for proof before penalizing families and demanding that they pay back years of allowances. Families were flagged on the basis of ‘risk factors’ such as having a low income or dual nationality. As a result, tens of thousands were needlessly impoverished, and more than 1,000 children were placed in foster care.

From New York City to California and the European Union, many artificial intelligence (AI) regulations are in the works. The intent is to promote equity, accountability and transparency, and to avoid tragedies similar to the Dutch childcare-benefits scandal.

But these won’t be enough to make AI equitable. There must be practical know-how on how to build AI so that it does not exacerbate social inequality. In my view, that means setting out clear ways for social scientists, affected communities and developers to work together.

Right now, developers who design AI work in different realms from the social scientists who can anticipate what might go wrong. As a sociologist focusing on inequality and technology, I rarely get to have a productive conversation with a technologist, or with my fellow social scientists, that moves beyond flagging problems. When I look through conference proceedings, I see the same: very few projects integrate social needs with engineering innovation.

The article was originally posted at Nature.

The Boston Global Forum (BGF), in collaboration with the United Nations Centennial Initiative, released a major work entitled Remaking the World – Toward an Age of Global Enlightenment.   More than twenty distinguished leaders, scholars, analysts, and thinkers put forth unprecedented approaches to the challenges before us. These include President of the European Commission Ursula von der Leyen, Governor Michael Dukakis, Father of Internet Vint Cerf, Former Secretary of Defense Ash Carter, Harvard University Professors Joseph Nye and Thomas Patterson, MIT Professors Nazli Choucri and Alex ‘Sandy’ Pentland, and Vice President of European Parliament Eva Kaili.  The BGF introduced core concepts shaping pathbreaking international initiatives, notably, the Social Contract for the AI Age, an AI International Accord, the Global Alliance for Digital Governance, the AI World Society (AIWS) Ecosystem, and AIWS City.

One of the most consequential challenges confronting corporate governance in the near term will be its ability to exercise informed oversight over the application of artificial intelligence (AI) within its organization. It will be a challenge that will arise regardless of the industry sector in which the company operates, and regardless of how it applies AI in that operation.

The essence of the challenge is the rapidly emerging conflict between the perceived societal and commercial benefits arising from AI implementation, and the perceived societal and institutional risks arising from its use. The need to address the challenge is urgent; the competing interests of benefit and risk are hurtling at each other at hypersonic speed.

While the challenge is certain to arise at some point at the government/regulatory level, it is likely to arise more immediately at the corporate, operational level. And the governing board, with its strategic and risk management portfolios, is the most appropriate platform from which companies may resolve the challenge for the benefit of all corporate constituencies.

Nowhere is this risk/benefit conflict better demonstrated than in the health care sector, which is widely acknowledged for leveraging research and innovation to achieve advances and efficiencies in patient care and treatment.

The articlee was originally posted at Forbes.

The Boston Global Forum (BGF), in collaboration with the United Nations Centennial Initiative, released a major work entitled Remaking the World – Toward an Age of Global Enlightenment.   More than twenty distinguished leaders, scholars, analysts, and thinkers put forth unprecedented approaches to the challenges before us. These include President of the European Commission Ursula von der Leyen, Governor Michael Dukakis, Father of Internet Vint Cerf, Former Secretary of Defense Ash Carter, Harvard University Professors Joseph Nye and Thomas Patterson, MIT Professors Nazli Choucri and Alex ‘Sandy’ Pentland, and Vice President of European Parliament Eva Kaili.  The BGF introduced core concepts shaping pathbreaking international initiatives, notably, the Social Contract for the AI Age, an AI International Accord, the Global Alliance for Digital Governance, the AI World Society (AIWS) Ecosystem, and AIWS City.

Meta Platforms Inc., formerly Facebook, which has been working to use machine learning technologies to combat climate change and increase the efficiency of industrial systems, today outlined a number of approaches it’s taking using artificial intelligence to tackle these issues and develop elegant engineering solutions.

The Open Catalyst Project represents one of these initiatives, a partnership between Meta AI and Carnegie Mellon University’s Department of Chemical Engineering, which helps bring together artificial intelligence researchers to design new ML models to predict new chemical reactions for energy storage.

For example, when it comes to renewable energy, solar and wind energy depend on the availability of sun and wind in order to generate power. But when it’s not sunny or windy for a long period of time, power generation drops off. That requires building energy storage, usually batteries, to absorb excess energy so that it can be delivered during off-peak times.

“The problem is that batteries don’t scale really well with storage,” said Larry Zitnick, lead research scientist for the Open Catalyst Project. “So we need to find a way to store energy that actually scales. That’s where the Open Catalyst Project actually comes in.”

The project provides datasets for the discovery of chemical catalysts for building cheaper and scalable batteries for renewable energy networks. With the research team’s efforts to date, Zitnick says Open Catalyst has built the largest training data set of materials for renewable energy storage in the world.

According to Zitnick, there are possibly millions of different material combinations that could be tested in labs meaning that they could be tested at a rate of potentially only a thousand a year. A slow, arduous process for human hands. However, Open Catalyst, which has more than 8 million data points and 40,000 unique simulations across a variety of materials, can give researchers a massive experimental jumpstart.

He also added that the system can use computational computing that can “brute force” simulations in seconds which would take other systems days to find viable optimizations before researchers test them in labs.

Another important aspect of using AI to address the climate crisis is the efficiency of its own infrastructure and energy needs. Mike Schroepfer, a senior fellow at Meta, wrote that Meta’s own global operations are supported by 100% renewable energy, but efficiency is still crucial and the company is exploring Green AI models.

The original article was posted here.

The Boston Global Forum (BGF), in collaboration with the United Nations Centennial Initiative, released a major work entitled Remaking the World – Toward an Age of Global Enlightenment.   More than twenty distinguished leaders, scholars, analysts, and thinkers put forth unprecedented approaches to the challenges before us. These include President of the European Commission Ursula von der Leyen, Governor Michael Dukakis, Father of Internet Vint Cerf, Former Secretary of Defense Ash Carter, Harvard University Professors Joseph Nye and Thomas Patterson, MIT Professors Nazli Choucri and Alex ‘Sandy’ Pentland, and Vice President of European Parliament Eva Kaili.  The BGF introduced core concepts shaping pathbreaking international initiatives, notably, the Social Contract for the AI Age, an AI International Accord, the Global Alliance for Digital Governance, the AI World Society (AIWS) Ecosystem, and AIWS City.