Mohsen Hejrati is co-founder and CEO at Clusterone. Prior to founding Clusterone, he was a research engineer at Waymo and senior researcher at Vicarious. At Clusterone, he is focused on large scale machine learning platforms for applications in life sciences and the autonomous vehicles industry. His research interests span computer vision and machine learning. Mohsen has published in IEEE Conference of Computer Vision and Pattern Recognition (CVPR), European Conference on Computer Vision (ECCV) and Neural Information Processing Systems (NIPS) among others. Read his full bio.

Interview with Mohsen Hejrati of Clusterone

Q: What need is Clusterone addressing?

A: AI and machine learning are becoming cornerstone technologies for scientists and engineers, but access to these technologies is still cumbersome. Machine learning – and deep learning in particular – requires lots of computing power, which is challenging to set up and manage. In addition, not all companies have the necessary expertise to apply machine learning and AI. Clusterone helps them solve those complex engineering tasks and takes care of setup, maintenance, and orchestration of the infrastructure behind AI. We enable scientists and engineers to run experiments – even distributed deep learning code – with the click of a button.

A few decades ago, using a computer to do work was really hard, today this has become the easiest thing in the world. We want AI to be the same way. No fiddling around, no complex setup, it should be a tool to get work done, not a time sink.

Q: What are the products and/or services Clusterone offers/develops to address this need? What makes Clusterone unique?

A: We offer the Clusterone deep learning platform – think of it as an operating system for AI – as well as professional engineering and research services through our Applied AI team. Our platform removes the need for infrastructure setup and orchestration. It also allows teams to collaborate on deep learning experiments and easily reproduce previous experiments. Clusterone is an enterprise-grade platform and we work closely with our customers to make sure they get the most out of their AI investments.

The platform is infrastructure-agnostic, meaning it can run on any on-premises cluster or public cloud, as well as integrate into existing workflows. We help teams to use their hardware more efficiently by optimizing cluster utilization and thus saving our customers time and money.

Q: What is your role at Clusterone and what excites you about your work?

A: I am the CEO and co-founder of Clusterone. The AI industry is incredibly fast-moving, and I believe we’re at a crucial turning point where AI moves from labs into mainstream engineering. Being part of this development is very exciting. AI has huge potential for many industries, but precision medicine and biotech stand out in particular. We want to be part of the cure for cancer, aging, and many other pressing problems that we face today. I think that is very exciting.

Q: When thinking about Clusterone and the domain Clusterone is working in, what are some of the recent breakthroughs that are propelling the field forward and how will they impact healthcare?

A: On the hardware side, the biggest breakthrough has been how capable and affordable GPUs and computing power in general has become. Cloud providers make it very simple to access this computing power today, which is a very important step.
When it comes to software, I believe the development of free and open-source resources has been very important. Public datasets and libraries such as TensorFlow and PyTorch make it very easy to get started with AI today.

These developments will have great impact on healthcare through innovative new diagnostic and analysis technologies (e.g. automated cancer cell detection using computer vision). For doctors and hospitals, it is becoming much easier to gain insights from medical imaging and other data they collect. That way, they’re able to help patients more directly and more individually.

Q: What are the short-term challenges that Clusterone and its peers are facing?

A: The market for AI is still young, knowledge about AI, machine learning, and even data science is still not widely available. There’s also a severe talent shortage for AI and machine learning experts. We have to work to educate people about AI and train new talent.

Also, Hardware and Software solutions are evolving at a rapid pace which makes adopting and maintaining any solution especially challenging. At Clusterone, we’re working hard to stay ahead of these developments and to simplify this complexity for our customers by providing a concise user experience across all types of infrastructure.

Q: Is there anything else you would like to share with the PMWC audience?

A: We are excited to see a growing community of life science practitioners focusing on adopting machine learning for the right problems. We see ourselves serving them to build the next breakthroughs in cancer research and personalized medicine.

Interview with Andrew Carroll of Google AI

Q: Artificial intelligence (AI) techniques have sent vast waves across healthcare, even fueling an active discussion of whether AI doctors will eventually replace human physicians in the future. Do you believe that human physicians will be replaced by machines in the foreseeable future? What are your thoughts?

A: I believe that applying AI technologies in healthcare will make physicians more valuable, and will make their careers more enjoyable and sustainable.

Read More

Interview with L. Staton Noel III of Panaceutics

Q: What need is Panaceutics addressing?

A: One of the key barriers to making precision/personalized wellness and healthcare products is the contradictory goal of manufacturing individualized products on a large scale. Meeting demand for personalized products can be expensive and logistically challenging.

Read More

Interview with Joe Zhang of Burning Rock Dx

Q: Genomic medicine is entering more hospitals and bringing with it non-invasive technology that can be used to better target and treat diseases. What are some key milestones that contributed to this trend?

A: The milestones in my mind include the first FDA clearance of Next Gen Sequencing instrument, MiSeqDx in 2013, this opened a new door for clinical utilization of parallel gene alteration detection in clinical setting.

Read More

Why are Scientists So Upset About The First CRISPR Babies?

The use of new technologies can provide breakthrough benefits for both patients and providers. However, with increased sharing comes increased risks to the security and privacy of patient data. Currently data is being accumulated across many organizations and initiatives but is often either siloed or simply not accessible. Researchers suggest that patient education tactics can help quell security concerns during patient data sharing.

Read More

Interview with Kara Davis of Stanford

Q: The Nobel Price in Medicine was awarded recently to James Allison and Tasuku for their work on unleashing the body’s immune system to attack cancer, a breakthrough that has led to an entirely new class of drugs and brought lasting remissions to many patients who had run out of options. The Nobel committee hailed their accomplishments as establishing “an entirely new principle for cancer therapy.” What is your first-hand experience the impact that those new drugs had on patients?

A: These immune checkpoint inhibitors have been an incredible demonstration of the ability of the immune system to control and in some cases.

Read More

Interview with Shannon J. McCall of Duke University

Q: Genomic medicine is entering more hospitals and bringing with it non-invasive technology that can be used to better target and treat diseases. What are some key milestones that contributed to this trend?

A: After several years of the promise of precision medicine and abundant clinical trial work, the recent FDA approval of solid-tumor-agnostic therapies dependent on molecular biomarkers has catapulted genomic/precision medicine into the standard-of-care for late stage cancer.

Read More

Interview with Tao Chen of Paragon Genomics, Inc.

Q: Once sequencing has been validated as a clinical solution via trusted workflows, and coinciding with the technological developments driving costs lower, we can expect accelerated human genome profiling for clinical Dx. How soon, do you think, will we see accelerated growth and what can we expect?

A: For whole genome sequencing to be a reliable clinical tool, it will largely depend on the cost of sequencing the genome and our ability to interpret the data.

Read More

Call for Action: The Time is Now for Patient Data Interoperability

The use of new technologies can provide breakthrough benefits for both patients and providers. However, with increased sharing comes increased risks to the security and privacy of patient data. Currently data is being accumulated across many organizations and initiatives but is often either siloed or simply not accessible. Researchers suggest that patient education tactics can help quell security concerns during patient data sharing.

Read More

Interview with Andrew Magis of Arivale

Q: Once sequencing has been validated as a clinical solution via trusted workflows, and coinciding with the technological developments driving costs lower, we can expect accelerated human genome profiling. How soon, do you think, will we see what kind of accelerated growth?

A: I think the acceleration has already begun. Large sequencing projects such as NHLBI Trans-omics for Precision Medicine (TOPMed) and NIH All of Us are sequencing 150,000 and 1 million individuals, respectively.

Read More

Interview with Emily Leproust of Twist Bioscience

Q: NGS is enhancing patient care through improved diagnostic sensitivity and more precise therapeutic targeting. Prominent examples include cystic fibrosis and cancer. What other clinical areas NGS will most likely to change the standard-of-care in the near future?

A: Preventative medicine – using genetic data to identify traits that have the potential to cause harm in the future.

Read More

Interview with Michael Phelps of UCLA

Q: You invented the PET scanner that changed the lives of millions of patients with cancer, brain and heart diseases. What are the potential benefits to patients of combining PET with radio-ablation technologies?

A: PET provides imaging assays of the biology of disease in many diseases today.

Read More

Interview with Daniela Ushizima of Lawrence Berkeley National Lab

Q: Artificial intelligence (AI) techniques have sent vast waves across healthcare, even fueling an active discussion of whether AI doctors will eventually replace human physicians in the future. Do you believe that human physicians will be replaced by machines in the foreseeable future? What are your thoughts?

A: I really hope that human physicians will not be replaced by machines in the foreseeable future.

Read More

Interview with Amy Compton-Phillips of Providence St. Joseph Health

Q: Genomic medicine is entering more hospitals and bringing with it non-invasive technology that can be used to better target and treat diseases. What are some key milestones that contributed to this trend? What technological advancements are driving this change?

A: Genomic medicine is poised to move quickly from the research realm into integration with healthcare delivery, but there is always a time lapse between technology advances and what we do with those advances.

Read More

Interview with James Taylor of Precision NanoSystems

Q: There are various new, emerging technologies that bring us closer towards a cure for life-threatening disorders such as cancer, HIV, or Huntington’s disease. Prominent examples include the popular gene editing tool CRISPR or new and improved cell and gene therapies. By when can we expect these new technologies being part of routine clinical care?

A: Patients are already receiving treatment using novel gene and cell therapies.

Read More

Interview with Julie Eggington of Center for Genomic Interpretation

Q: Together with Robert Burton you founded the Center for Genomic Interpretation (CGI), a non-profit organization. Can you tell us more about CGI and the mission behind it?

A: CGI’s mission is to drive quality in clinical genetics and genomics. CGI works primarily with laboratories, health insurance payers, clinicians, and patients/consumers.

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Johns Hopkins
University Of Michigan

The Precision Medicine World Conference (PMWC), in its 16th installment, will take place in the Santa Clara Convention Center (Silicon Valley) on January 20-23, 2019. The program will traverse innovative technologies, thriving initiatives, and clinical case studies that enable the translation of precision medicine into direct improvements in health care. Conference attendees will have an opportunity to learn first-hand about the latest developments and advancements in precision medicine and cutting-edge new strategies and solutions that are changing how patients are treated.

Agenda highlights:

  • Five tracks will showcase sessions on the latest advancements in precision medicine which include, but are not limited to:
    • AI & Data Science Showcase
    • Clinical & Research Tools Showcase
    • Clinical Dx Showcase
    • Creating Clinical Value with Liquid Biopsy ctDNA, etc.
    • Digital Health/Health and Wellness
    • Digital Phenotyping
    • Diversity in Precision Medicine
    • Drug Development (PPPs)
    • Early Days of Life Sequencing
    • Emerging Technologies in PM
    • Emerging Therapeutic Showcase
    • FDA Efforts to Accelerate PM
    • Gene Editing
    • Genomic Profiling Showcase
    • Immunotherapy Sessions & Showcase
    • Implementation into Health Care Delivery
    • Large Scale Bio-data Resources to Support Drug Development (PPPs)
    • Microbial Profiling Showcase
    • Microbiome
    • Neoantigens
    • Next-Gen. Workforce of PM
    • Non-Clinical Services Showcase
    • Pharmacogenomics
    • Point-of Care Dx Platform
    • Precision Public Health
    • Rare Disease Diagnosis
    • Resilience
    • Robust Clinical Decision Support Tools
    • Wellness and Aging Showcase

Agenda highlights:

    • Five tracks will showcase sessions on the latest advancements in precision medicine which include, but are not limited to:
      • AI & Data Science Showcase
      • Clinical & Research Tools Showcase
      • Clinical Dx Showcase
      • Creating Clinical Value with Liquid Biopsy ctDNA, etc.
      • Digital Health/Health and Wellness
      • Digital Phenotyping
      • Diversity in Precision Medicine
      • Drug Development (PPPs)
      • Early Days of Life Sequencing
      • Emerging Technologies in PM
      • Emerging Therapeutic Showcase
      • FDA Efforts to Accelerate PM
      • Gene Editing / CRISPR
      • Genomic Profiling Showcase
      • Immunotherapy Sessions & Showcase
      • Implementation into Health Care Delivery
      • Large Scale Bio-data Resources to Support Drug Development (PPPs)
      • Microbial Profiling Showcase
      • Microbiome
      • Neoantigens
      • Next-Gen. Workforce of PM
      • Non-Clinical Services Showcase
      • Pharmacogenomics
      • Point-of Care Dx Platform
      • Precision Public Health
      • Rare Disease Diagnosis
      • Resilience
      • Robust Clinical Decision Support Tools
      • Wellness and Aging Showcase
  • Luminary and Pioneer Awards, honoring individuals who contributed, and continue to contribute, to the field of Precision Medicine
  • 2000+ multidisciplinary attendees, from across the entire spectrum of healthcare, representing different types of companies, technologies, and medical centers with leadership roles in precision medicine
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