Artificial Intelligence platform
Life Singularity’s vision is to deliver real-time predictive health insights and on-demand virtual care through the power of AI and deep learning in order to develop a contextual, Health Internet of You.
A BREAKTHROUGH PREDICTIVE HEALTH PLATFORM
In the current health ecosystem, most digital health platforms that are AI-based tend to be “retrospective” and singular-outcome solutions. At Life Singularity we offer a breakthrough predictive health platform that is able to deliver personalized, geospatial monitoring while focusing on the prevention of future health events through prospective virtual care.
Built on over 150 million health records, environmental analyses, and emotional/facial analytic data, our platform is capable of benefiting every sector involved in healthcare. From payers and providers to governmental agencies and employers, Life Singularity’s platform is able to save not only costs, but lives.
SERVICES WE PROVIDE
- AR/VR Avatar-based Health Kiosk
- Responsible AI
- Hyper-Local Epidemiology
- Quantum Constraint Optimization
- Patient conditions and comorbidities
- Patient health history
- Biometric data sensors and wearables
- Patient behaviors, lifestyles, and engagement
- Social determinants of health
- Electronic Health Records (EHR)
OUR VALUE PROPOSITION
Rather than taking the time to maintain control over this task, why not let our AI do it for you?
- Government Agencies
As an employer, COVID’s impact has likely impacted your operational costs and significantly delayed future plans. With our platform, you can begin forecasting and preparing for the return-to-work by utilizing our predictive AI platform. By targeting outreach and education to specific locations, adjusting supply chain/distribution decisions based on exposure risks, and leading the way for employees to incrementally return, employers can reduce their COVID-related costs while monitoring for the safety and health of their employees. Additionally, Life Singularity can assist with matching high-risk employees with low-exposure assignments and even prime missed work and sales estimates in preparation for the return-to-work process.
By working with the government, our platform can assist with community surveillance and geo-mapping for preparation in regards to hospital surges, resource allocation across medical facilities, and the return-to-work process during widespread health events. Additionally, Life Singularity can help identify prime areas for makeshift hospitals and locate specific areas needing community support and outreach programs. With our platform, the government can completely change the way they engage in medical resource allocation, thus saving costs and lives.
As a payer, it can be very costly to manage patients who are in a high risk state. With our platform, we can make this process easier, deliver outcomes with lower associated costs by providing you with predictive health insights that can assist with how you prioritize and allocate your resources days, weeks and months ahead. For instance, we can identify geographic clusters of vulnerable populations, construct socioeconomic-based engagement plans, and improve the process of managing chronically ill individuals. By proactively managing chronically ill individuals and helping reduce healthcare costs across the entire industry, Life Singularity can help make payers more efficient.
As an individual in a high risk state, it can be difficult to understand and keep track of your health-related activities. In fact, for many elderly individuals, obtaining prescription medicines, keeping up to date with medical professionals, and getting hold of emergency services in a timely manner can be very complex, and in some cases, almost impossible given the individual’s condition. With our platform, we can oversee all these activities and contacts, with Elli, our virtual avatar, assisting you through the process at all times. In addition to these services, Life Singularity can assist with mapping vulnerable communities against hospital availability, help enroll patients in telehealth services, and even identify where mobile testing centers are most needed. Rather than taking the time to maintain control over this task, why not let our AI do it for you?
With the help of our platform, pharmacies will be able to anticipate patient needs through chronic disease and cost trajectory prediction, thus preventing operational expenses in the long run. Additionally, pharmacies will be able to provide proactive support to patients with their health and well-being by assisting with routines, reminders, and appointments. Lastly, they will be able to conduct initial triage and outreach through questionnaires and achieve a level of primary care and counseling.
HOW WE CAN EMPLOY YOUR DATA
- Unique health monitoring and recommendations
- Geomapping of vulnerable populations
- Strategic SDOH data and geomaps
- Resource allocation strategies
- COVID autonomous monitoring platform
- Return-to-work health monitoring
- Employee/employer compliance reports
Community Surveillance of Risk (COVID-19) Social Determinants of Health
Our platform takes into account much more than simply your real-time health. When we take a look at your local environment, genetics, past medical care, social factors, and your personal actions, our system can uncover the vulnerabilities that you have to certain diseases and conditions. These factors that can impact your overall health are considered Social Determinants of Health.
Monitoring an individual's heart rate and temperature can only convey so much. Thus, understanding details such as one's socioeconomic background, exercise habits, and surroundings can be incredibly important in providing potentially life-saving prediction-based recommendations.
On the right, you will find the social determinants of health in action with social distancing overlaid with COVID-19 clusters and their related impactfulness on your health.
Our virtual care assistant
Elli, our virtual care assistant, combines empathy with innovative avatar-based technology, advanced sensing of emotions, and Artificial Intelligence to generate actionable, real-time data that can enable clinicians to make better, timelier decisions that can catch the disease ahead of time.
Some of Elli’s features include:
- Empathy/Emotional sensing
- Proactive outreach to providers and caregivers
- Symptom analysis
- Behavioral health Recommendations
- Multi-lingual Community Support
- Loneliness/Social Isolation check-ins
- Biometric data monitoring
- Assistance with lifestyle routines and behaviors
- And much more...
Life Singularity, Inc. launches its Ethical AI Predictive Health Platform for identifying and mitigating biases in data to address health equity now
QUANTUM CONSTRAINT OPTIMIZATION
The rapid spread of COVID-19, the disease caused by the SARS-CoV-2 virus, continues to have a significant impact on hospitals and other healthcare institutions. Healthcare systems had to divert significant resources for urgent COVID-19 patient care resulting in 60-80% reduction of traditional elective surgery volumes. The demand caused by this pandemic far exceeds the level observed during the peak period of regular demand, so a new framework is needed to guide hospitals’ resource investment and allocation to prevent the serious consequences of staff burden. Based on our research, the distinguishing features of our supply chain scheduling problem include the multiple hard constraints, which make the problem difficult to address for conventional numerical solvers. An additional challenge is the effort to recover approximately optimal solutions, which may fail to find the true minimum with some parameterized tolerance.
Quantum annealing is a promising heuristic method to solve combinatorial optimization problems, and efforts to quantify performance on real-world problems provide insights into how this approach may be best used in practice. We investigated the empirical performance of quantum annealing to solve the Supply Chain Scheduling Problem (SCSP) with hard constraints using the D-Wave 2000Q quantum annealing device. SCSP seeks the optimal assignment for a set of physicians, PPE, testing supplies, procedures (e.g. orthopedic or cardiovascular), patient risk, and procedure urgency to daily shifts under an accompanying set of constraints on schedule and personnel. After reducing SCSP to a novel Ising-type Hamiltonian or a QUBO (Quadratic Unconstrained Binary Optimization) model, we evaluated the solution quality obtained from the D-Wave 2000Q against the constraint requirements as well as the diversity of solutions. For the supply chain problem of our focus, our results indicate that quantum annealing recovers satisfying solutions for SCSP and suggests the heuristic method is potentially achievable for practical use. Our Platform was demonstrated at the NVIDIA Inception Presentation at NVIDIA AI GTC20 for COVID-19 Remote Sensing and Early Detection [A21390] https://www.nvidia.com/en-us/gtc/start-ups/
A population of patients people who are likely to have a heightened vulnerability to severe complications from COVID-19 can be identified leveraging demographics, social determinants of health, prior medical history, procedures, lab data, and vital signs, to determine the risk of hypertension, CHF, diabetes, and other co-morbidities. Vulnerability due to underlying chronic conditions when combined with surgical risk and exposure risk can help us stratify COVID-19 Suspected Positivity risk across patient populations. Assignment of a vulnerability risk score to a patient can then help us redirect PPE and testing supplies towards medium to high risk patients and find other solutions for low risk populations.
COVID-19 self-reported symptoms can provide additional insights into exposure history, recoveries, and re-infections. Monitoring key symptoms of COVID-19 in Asymptomatic/Symptomatic patients with real-time surveillance for viral infections would be key in early detection and understanding of patient risk trajectory.
The volume of required PPE is correlated to the volume of COVID-19 patients, patient risk, surgery risk, severity and the availability of testing supplies. Patients with unknown COVID-19 status have different risk levels associated with their suspicion of infection. Based on combined patient and procedure risk assessment, PPE demand can be allocated. We can estimate these volumes using our innovative SLQCHR COVID-19 compartmental epidemiology model with 11 compartments, 30 time-dependent transmission and progression parameters, 9 hospital supply and demand parameters and intervention events. This is innovation beyond the current models from Chime or University of Washington.
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