As researchers work to develop new cancer treatments, one of the biggest challenges is identifying promising drug candidates quickly and efficiently. Now, researchers at Purdue University have developed a next-generation technology platform designed to dramatically speed up the early stages of cancer drug discovery. By combining chemical synthesis, biological testing, and mass spectrometry into a single automated workflow, the platform can reduce processes that once took weeks down to just hours. The new system enables scientists to generate, evaluate, and refine potential drug candidates within the same platform. It also supports the growing use of AI (artificial intelligence) by producing large volumes of high-quality experimental data that can be used to improve drug discovery models and identify new therapeutic opportunities. Here is how this can help in cancer research: Looking to the future, researchers hope the platform will help accelerate the development of new cancer therapies and improve the ability to identify treatments for difficult-to-target diseases. As advances in automation, mass spectrometry, and AI continue to evolve, integrated technologies like this could play an increasingly important role in bringing new medicines to patients…

As data volumes continue to grow across scientific research, so does the need for advanced computing infrastructure to manage, analyze, and connect information from myriad sources. Now, a new high performance data facility aims to help researchers unlock discoveries faster by combining AI (artificial intelligence), high-performance computing, and large-scale data management. The facility is supported through partnerships that include Virginia Tech and the U.S. Dept. of Energy. The high-performance data facility will serve as a national hub for scientific data, enabling researchers to access and analyze information from laboratories, experiments, and simulations across the country. By bringing together computing power, networking, and advanced data tools, the facility is designed to accelerate research in a wide range of scientific disciplines. Here is how this can support scientific research: Looking to the future, the facility is expected to strengthen the nation’s scientific data infrastructure and create new opportunities for innovation in fields ranging from physics and energy research to biology and environmental science. As research generates increasingly complex datasets, investments in advanced data and AI capabilities will play an important role in supporting the next generation of scientific…