Optimized Molecular Imaging

Molecular imaging is resolving protein structures at the atomic level, enabling insights not possible even six months ago.

Optimized Molecular Imaging Codes in Life Sciences—Why it Matters

Molecular imaging represents the next grand challenge for life sciences, bringing together the disciplines of structural biology, computational chemistry, biophysics, and bioinformatics to solve problems which were not possible even six months ago. Molecular imaging enables visualization of cellular function and analysis of molecular processes within living organisms, with early applications in cancer, immunology, neurodegenerative, and cardiovascular disorders.

Intel and the Promise of Molecular Imaging

With life sciences algorithms changing every six months, high-throughput instruments, including 4D molecular imaging, produce data as much as 2TB per device per day, and research results translating into clinical practice more rapidly than anyone could predict. This volume and rate of change quickly outpaces what existing technology can support.

Code modernization is particularly important to the health and life sciences industry, where scientists are typically not professional programmers and lack the high performance computing expertise to make effective use of available infrastructure.  Pipeline inefficiencies delay scientific innovation and clinical treatment, especially noticeable when production analytics pipelines are scaled to cope with the high-throughput instruments.

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