NVIDIA, Scripps Research Translational Institute Partner on AI for Genomics, Digital Health Sensors
The Scripps Research Translational Institute is partnering with NVIDIA to develop AI and deep learning best practices, tools and infrastructure to accelerate AI applications using genomic and digital health sensor data.
With NVIDIA, Scripps will establish a center of excellence for artificial intelligence in genomics and digital sensors.
“AI in medicine has tremendous promise,” said Eric Topol, the institute’s founder and director. “Eventually, it will markedly improve accuracy, efficiency, and workflow in medical practice with the potential to lower cost. But so much of this depends on validating AI algorithms and proving clinical efficacy. The data inputs from sensors and sequencing, in particular, will play an important role.”
Dr. Topol leads a team focused on individual medicine that’s part of the larger Scripps Research Institute, ranked by Nature last year as the world’s most influential research institution on innovation.
Scripps and NVIDIA will work to advance the use of machine learning and deep learning to harness the exploding quantity of health data. It’s data generated by faster, more affordable genome sequencing gear, and digital health sensors such as smartwatches, blood pressure cuffs and glucose monitors.
NVIDIA AI experts and Scripps researchers and clinicians will use deep learning and, more broadly, machine learning, to tackle the deluge of genomics and sensor data.
Genomics data is doubling every seven months. To keep up, the team will develop deep learning approaches to help improve mutation detection and make genome sequencing more affordable and accessible.
The astounding growth in genomics data is why the use of the data-hungry deep learning approach in genomic research papers has increased 40 times in the last four years.
Deep learning can predict phenotypic information from mutation detections, which, when combined with digital sensor data, opens up a new world of disease prevention and intervention.
Expanding AI Beyond Images to Digital Sensors and Genomics
All of these efforts rely on access to data, and Scripps has some of the best in the world. Recently, Scripps was selected as a leading participant for the “All of Us Research Program,” an effort led by the National Institutes of Health.
The pioneering project — which includes a research cohort of more than 1 million U.S. participants — is the largest to study the intersection of biology, genetics, environment, data science and computation.
Data of this quality, and quantity, needs the world’s most advanced AI computing platform. The mission of the center of excellence is to accelerate AI applications leveraging genomics and sensor data to keep us healthier longer.
Source nvidia
Industry: Artificial Intelligence News
Latest Jobs
-
- Data Privacy Lead. Client Facing London. Permanent.
- London
- N/A
-
Data Privacy Lead. Client Facing London. Permanent. London based client facing. Must be eligible to undergo UK Security Clearance (SC) Key Responsibilities: Lead and support client facing data privacy projects. Assess compliance, define and deliver strategic projects / implement privacy solutions. Manage project teams and develop business opportunities. Required Experience: Experience in data protection and privacy standards. Background in consulting. Skills and Qualifications: Business consulting experience IAPPPrivacy Manager / Privacy Technologist Location Greater London UK based role. Not able to provide VISA sponsorship.
-
- VOIP / SIP App Developer. Contract. SIP | VOIP experience needed. SC Cleared Outside IR35 Contract. London
- London
- OUTSIDE IR35
-
SIP | VOIP Developer. SC Cleared Contract. London Looking for a SC Cleared SIP / VOIP Developer to develop an application that interacts with a set of voice and video signalling API’s You will also work on developing in-house applications, browser plugins and automated tooling to support secure communication systems. Responsibilities Develop an application that will manage number mapping and associated identities using commercial SBC API’s. Develop new user-facing features using React.js or other modern JavaScript frameworks. Build reusable components and front-end libraries for future use. Collaborate with the design team to translate UI/UX design wireframes into code. Work closely with backend developers to integrate front-end code with server-side logic. Conduct code reviews and provide constructive feedback to team members. Stay up-to-date on emerging technologies and industry trends to continuously improve our front-end development practices. Troubleshoot and debug issues that arise during development and in production environments. Maintain high coding standards and practices and ensure code is well-documented. Requirement Experience of developing specialist applications using REST API’s. Good knowledge of Go, Java and Python (open to alternative combinations of languages). Proficiency in front-end languages and frameworks such as HTML, CSS, JavaScript, React.js, etc. Strong understanding of web standards, responsive design, and cross-browser compatibility. Experience with version control systems such as Git. Knowledge of RESTful APIs and asynchronous request handling. Familiarity with UI/UX design principles and tools.
-
- Senior Data Privacy Consultant. Client Facing | London
- London
- N/A
-
Senior Data Privacy Consultant. Client Facing | London Senior Data Privacy Consultant needed for a key client facing opportunity. Must be willing to undergo SC Security Clearance. Hybrid role- onsite with customer / office 2-3 days a week. London Key Responsibilities: Lead and support client facing data privacy projects. Assess compliance, define and deliver strategic projects / implement privacy solutions. Manage project teams and develop business opportunities. Required Experience: Experience in data protection and privacy standards. Background in consulting. Skills and Qualifications: Business consulting experience IAPP Privacy Manager / Privacy Technologist Location Greater London UK based role. Not able to provide VISA sponsorship.
-
- Security Analyst - Internal role. London commutable. Permanent
- London
- N/A
-
Security Analyst - Internal role. London commutable opportunity. Operational Security - Investigate, escalate and proactively work to ensure household name remains protected. Project Security - Coordinate, log change requests with project delivery teams to meet security requirements Policy / compliance - work with team to aid in uplifting these as and where needed This role is role to investigate, escalate and proactively work to protect a globally recognised brand. You must have current hands on operational analytical security experience with Microsoft technology stack Someone with a SOC Analyst / security engineering background would be well suited. This position will join a small team and would suit someone that has broad experience across the security threat landscape. Experience / knowledge across industry GRC standards such NIST, ISO27001 etc very advantageous and a priority. You will work across multiple teams proactively working to secure the business. Must be able to commute to Central London 3 days a week. Visa sponsorship not available Apply today to find out more.