Technology and the Future of Healthcare under Tech Impact 2030 - HPE Certifications

Decoding the first human genome required $2.7 billion and took 15 years. Remarkable advances in sequencing technologies have brought the costs of genome sequencing to less than $1,000, making personal genomes a reality and opening a path for affordable, equitable access globally. This data provides the potential to gain insight and actionable guidance from patient genomic data in clinical settings, a critical step toward realizing the promise of affordable healthcare tailored to an individual patient’s needs: precision medicine. It allows researchers to determine the answer to questions like:

What is the connection between the three billion base pairs that comprise the human genome and human wellness?

How does variation in the genomes affect the likelihood of a patient developing cancer or heart disease?

Humans’ genetic uniqueness presents significant challenges to clinical care. Even within the parts of the genome whose disease-relevance is well established, less than one percent of the genetic variants in the population are clinically understood. Existing processes and standards to interpret this information within clinical laboratories are heavily reliant on manual pattern recognition and correlation. This barrier slows medical research and limits the scalability, utility and integration of genomic information in clinical workflows for real-time patient diagnosis and management.

“We firmly believe that to realize the value of genomic data, we need to look beyond changes in the sequence of a patient’s genome and into the changes induced to molecular and cellular function,” said Carlos L. Araya, CEO, Jungla Inc. “To do this, we’ve built computational and experimental systems that can provide unprecedented levels of insight to clinical teams. This has required massive increases in the scale of data and the processes to generate and analyze it.”

Jungla’s Molecular Evidence Platform (MEP) models the effects of variants on biological systems at scale and translate the insights into clinical practice. This integrated platform arms patients and healthcare providers with accurate, clear and transparent support for the interpretation of findings in genetic and genomic tests. As the MEP evolves, Jungla is integrating increasingly detailed, mechanistic approaches – including high-resolution molecular analyses– that can reveal how variations in the genome alter cells, such as DNA damage that can lead to cancer.

“Traditional computational systems were making it impossible for Jungla to compare its data sets at scale,” said Michael Woodacre, HPE Fellow. “After systems analyzed the data, researchers still needed to manually review the data to identify patterns. But with its unprecedented capacity to process data at scale, Memory-Driven Computing has allowed Jungla to use its analysis platform as a scientific instrument, reducing the risk of human error and dramatically speeding time to results.”

Enable real-time, personalized medical care for patients

In addition to its work with Jungla, the team at HPE is collaborating with researchers in life sciences and clinical medicine from the Living Heart Project and the German Center for Neurodegenerative Diseases (DZNE) to explore technology’s potential to transform multiple areas of the life sciences industry. Each of these research communities is pioneering new approaches to health science to  find answers hiding in plain sight and look beyond the silos of scientific disciplines and the inadequacy of traditional computational infrastructure to scale.

Tech Impact 2030

Earlier this year, HPE and the Forum announced the challenge to “Help Solve World Hunger” by 2030, inspired by results from Purdue University’s 1,400-acre research farm and its application of precision agriculture to increase crop yields while drastically conserving resources. By leveraging massive amounts of data collected from connected platforms and devices and processing it at the edge, HPE is providing fast insights that can inform quicker decisions for farmers.

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