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become a cornerstone of care when accessed efficiently and effectively. This paradigm shift, however, presents significant challenges. The data that holds the key to such personalized care is mostly unstructured. To harness its potential, healthcare systems increasingly turn to real-time analytics and deep learning facilitated by AI and machine learning. These technologies offer remarkable benefits, accelerating disease diagnosis, shortening treatment times, reducing costs, and ultimately enhancing patient outcomes and quality of care. An exemplary case of this transformation is UC Berkeley's AMPLab, which developed a real

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Google's newly formed AI ethics panel is stirring controversy due to the inclusion of Kay James, a figure associated with conservative views that challenge LGBTQ and immigrant rights—views that many Google employees oppose. James, who leads the Heritage Foundation, has been criticized by a group of employees known as ‘Googlers Against Transphobia’. They argue that Google's appointment reflects prioritizing power over the rights and wellbeing of marginalized communities. The ethics panel aims to tackle biases in AI algorithms that could affect vulnerable groups like the LGBTQ community. However, backlash and resignations fr

Atomwise, leading the charge in artificial intelligence (AI) for drug discovery, is poised to revolutionize the pharmaceutical industry with its innovative approaches. The company has secured a substantial $45 million investment in a series A funding round, spearheaded by Monsanto Growth Ventures, DCVC, and B Capital Group. This funding surge, bringing the company's total capital beyond $51 million, underscores Atomwise's mission to become the go-to AI partner for top pharmaceutical, biotech, and agrochemical firms worldwide. Building on previous support from investors like Y Combinator, Khosla Ventures, and DFJ, the fundi

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