Google Cloud secures U.S. military AI cancer research contract


Google Cloud announced today that it landed a contract to supply Veterans Affairs hospitals and Defense Health Agency treatment facilities with AI for predictive cancer and disease diagnosis. The contract comes from the Defense Innovation Unit (DIU), a Pentagon organization that brings consumer technology into the military. "The initial rollout will take place at select Defense Health Agency treatment facilities and Veteran's Affairs hospitals in the United States, with future plans to expand across the broader U.S. Military Health System," a Google Cloud post reads. "The AI-based models used to assist doctors as part of the prototype were developed from public and private datasets that were de-identified to remove personal health information and any personally identifiable information. All patient diagnostic data will solely be managed by the individual hospital or provider."

5G & Edge Computing Impact on Healthcare Accessibility and Efficiency


New technologies like 5G and edge computing are making healthcare more connected, secure, and efficient. When healthcare practitioners must make life-or-death decisions, the quality of information at their disposal is critical. Having more specific data -- and being able to access it in real time -- leads to more informed decisions. The Internet of Medical Things (IoMT) makes this possible through an infrastructure of connected medical devices, software applications, and health systems powered by 5G wireless technology and edge computing, which enables connected devices to process data closer to where it is created. Global healthcare funding to private companies reached a new quarterly record of $18.1B in Q2'20. Get the report to learn more.

Effects of Voice-Based Synthetic Assistant on Performance of Emergency Care Provider in Training Artificial Intelligence

As part of a perennial project, our team is actively engaged in developing new synthetic assistant (SA) technologies to assist in training combat medics and medical first responders. It is critical that medical first responders are well trained to deal with emergencies more effectively. This would require real-time monitoring and feedback for each trainee. Therefore, we introduced a voice-based SA to augment the training process of medical first responders and enhance their performance in the field. The potential benefits of SAs include a reduction in training costs and enhanced monitoring mechanisms. Despite the increased usage of voice-based personal assistants (PAs) in day-to-day life, the associated effects are commonly neglected for a study of human factors. Therefore, this paper focuses on performance analysis of the developed voice-based SA in emergency care provider training for a selected emergency treatment scenario. The research discussed in this paper follows design science in developing proposed technology; at length, we discussed architecture and development and presented working results of voice-based SA. The empirical testing was conducted on two groups as user studies using statistical analysis tools, one trained with conventional methods and the other with the help of SA. The statistical results demonstrated the amplification in training efficacy and performance of medical responders powered by SA. Furthermore, the paper also discusses the accuracy and time of task execution (t) and concludes with the guidelines for resolving the identified problems.

Industry News


Find here a listing of the latest industry news in genomics, genetics, precision medicine, and beyond. Updates are provided on a monthly basis. Sign-Up for our newsletter and never miss out on the latest news and updates. As 2019 came to an end, Veritas Genetics struggled to get funding due to concerns it had previously taken money from China. It was forced to cease US operations and is in talks with potential buyers. The GenomeAsia 100K Project announced its pilot phase with hopes to tackle the underrepresentation of non-Europeans in human genetic studies and enable genetic discoveries across Asia. Veritas Genetics, the start-up that can sequence a human genome for less than $600, ceases US operations and is in talks with potential buyers Veritas Genetics ceases US operations but will continue Veritas Europe and Latin America. It had trouble raising funding due to previous China investments and is looking to be acquired. Illumina loses DNA sequencing patents The European Patent ...

Merck turning to machine learning to prevent drug shortages: Merck plans to use a cloud-based software platform to better predict and prevent drug shortages, according to The Wall Street Journal.


Merck plans to use a cloud-based software platform to better predict and prevent drug shortages, according to The Wall Street Journal. The platform, developed by healthcare software company TraceLink, will analyze in real time data from pharmacies, hospitals and wholesale distributors. By using analytics and machine learning, the software can improve predictions and help drugmakers better match drug demand. The software could also save drugmakers hundreds of millions of dollars annually by reducing waste and avoiding costs like expedited shipments, because it can track a drug's status at every step in the supply chain. The platform currently holds data on more than 6 billion drugs.

Google, Mayo Clinic strike sweeping partnership on patient data


Mayo Clinic, one of medicine's most prestigious brands, announced Tuesday that it has struck a sweeping partnership with Google to store patient data in the cloud and build products using artificial intelligence and other technologies to improve care. The 10-year partnership is a testament to Google's expanding role in the U.S. health care system and gives Mayo greater access to the engineering talent and computing resources it needs to embed its expertise in algorithms and commercial devices. Google said it will open a new office in Rochester, a city whose economy, and very identity, is inextricably linked with Mayo, which invented the medical record more than a century ago and is now seeking to mine its data for new insights into patient care. The financial terms of the transaction were not disclosed. The deal is driven in part by Mayo's desire to expand its use of artificial intelligence, which relies on modern computing environments where data can be securely shared and manipulated by physicians and researchers.

IoT, patient engagement, RCM, genomics, deep learning among new tech at HIMSS19


VivaLNK, a connected healthcare technology vendor, has introduced its Internet of Things-enabled medical wearable Sensor Platform, which comes with a range of sensors, edge computing technologies and an "Internet of Health Things" data cloud. This platform captures human vitals and biometrics, and delivers data from the patient to edge computing devices, as well as to the cloud, for application integration and analysis. Available through the VivaLNK Developer Program, the Sensor Platform enables IoT technology partners to capture streams of patient data such as heart and respiratory rates, temperature, ECG rhythms, activity and more. Partners such as Vitalic Medical, a digital health vendor specialising in the early detection of patient health deterioration and potential falls, is developing a bedside monitoring system using the platform. "Our growing aging patient population, rising complex health conditions and increasing staff workloads make it challenging for medical professionals to detect early signs of patient deterioration and prevent falls," Sue Dafnias, CEO of Vitalic Medical, said.

Cloud Companies Are Experimenting With AI Diagnostics to Attract Medical Clients


Few U.S. industries are growing as fast as health care, but the big public-cloud, Microsoft, Google--have struggled to crack the $3.2 trillion market. Even as hospitals and insurers collect mountains of health data on individual Americans, most of their spending on extra data storage is for old-school systems on their own premises, according to researcher IDC. The public-cloud kingpins are trying to lure health-care providers with artificially intelligent cloud services that can act like doctors. The companies are testing, and in some cases marketing, AI software that automates mundane tasks including data entry; consulting work like patient management and referrals; and even the diagnostic elements of highly skilled fields such as pathology.