Technology, Personalized Medicine, And Autism

Technology, Personalized Medicine, And Autism

Imagine walking into your doctor’s office and being greeted not by people who invite you to wait, but by a scanner ready to gather information about your heart, kidney, lung and liver function. Scanning your body for a near-complete diagnostic work-up, the scanner forwards your results to a giant screen in the exam room where your doctor awaits — masked and gloved, of course — to discuss the results and create a personalized care plan.

This practice was already being implemented pre-Covid at doctors’ offices like Forward, a San Francisco-based company that combines cutting-edge technology with doctor-patient partnerships for clinical solutions personalized to the individual rather than the one-size-fits-all approach that dominates today’s clinical approach.

Humalogy = Humanity + Technology

The intersection of technology and humanity is creating new pathways for personalized, or “precision” care heretofore unattainable. We have already seen how genetic testing has revolutionized screenings for cancers and other conditions that have a hereditary component.

This is not a big leap. Hip replacement surgery involves the implantation of titanium ball joints in humans for improved quality of life. Pacemakers and left ventricular assist devices (LVAD) implanted in desperately ill heart patients can extend lives for years, even decades. And cochlear implants allow deaf people to hear. The march of progress suggests the pace of implanting non-human body parts will accelerate.

The Need to Proceed with Caution

Klososky predicts an accelerated pace of humalogy will lead to ethical dilemmas that must be addressed. “It seems so far away and difficult to get our hands around an augmented human being – a digital centaur as it were. Because I believe this is closer than most people think, and that it will be such a crossroads for humanity, I suggest we give a lot of thought to tomorrow’s implications today,” he said.

Klososky, founder of  Future Point of View, sketches out optimum blends of humanity and technology. For a dad to play catch with his son, the optimum mix is all human. For an Internet search, an algorithm does all the work in hundredths of a second without human involvement. In many cases, a balanced approach that blends humanity and technology will serve humans best. We have seen this play out in the rush to telemedicine during the Covid pandemic.

This could be heady stuff for those of us in the autism community. If you’re like me, your head is swimming with ideas about how this could work for autism – and how it could go terribly wrong. We need to be especially careful not to attempt to “fix” those with autism. It’s one thing to use technology to diagnose and treat earlier and better, and to allay some of the effects of autism that interfere with the ability of individuals to function. It’s quite another to fundamentally change who someone is.

The Promise of More Precise Care

As the implantation of technology creates more diversity in the biology of humans, the implication for treatment of all conditions, including autism, is increased individualization of treatment. More than ever, patient health history, behaviors, environments and genetic variations will have to be considered when making clinical decisions.

During the Obama Administration, the White House launched the Precision Medicine Initiative with this in mind. The White House committed $215 million to “pioneer a new model of patient-powered research that promises to accelerate biomedical discoveries and provide clinicians with new tools, knowledge, and therapies to select which treatments will work best for which patients.”

Imagine for a moment the impact such tactics could have on the diagnosis and treatment of various cancers. Presently, most recommendations are based on averages and customized only to the extent of broad markers like age, sex and previous cancer history. Precision medicine could, and is starting to, replace that with a diagnosis and treatment regimen bespoken to the specific physiological characteristics of each individual. Colonoscopies, for example, are recommended based on age and family history. Treatment protocols for colon cancer are determined almost entirely by the extent of the cancer. Precision medicine could help improve assessment of risk for each individual and help craft a personalized treatment plan attuned to each patient’s unique physiology.

The benefits of personalized care can be extrapolated to every kind of condition and body system. The promise of precision medicine is more and better treatments tailored to an individual’s specific conditions, with the promise of improved efficacy and fewer side effects. In a nascent field like autism, where we are just beginning to understand etiology and treatment, the positive impact on outcomes could be significant.

Imagine providing parents with an app that enables them to upload videos of their children, analyzed by computers applying algorithms to diagnose autism earlier in their development than currently possible. Imagine equipping autistic individuals with smart glasses that whisper instructions for navigating social situations in the user’s ear. Imagine two-foot-tall humanoid robots that could serve as therapists for use in treating children with autism. Artificial intelligence (AI) has made all this possible today. AI, equipped with machine learning, is improving constantly, and is positioned to become a critical adjunct to the human element in the diagnosis and treatment of autism. The operational and clinical advantages these advances convey are creating added value propositions for those enterprises that embrace it. AI Disruptors in Other Industries The ground for these paradigm-shifting advances has been well-trod in other industries. Consider how Waze disrupted the navigation business less than a decade ago. When other mapping apps stumbled to diagnose traffic jams and redirect travelers, Waze crowd-sourced traffic reports and provided real-time data about traffic incidents, speed limits, speed traps, and other valuable trip information to navigate the fastest possible route. As a result, the navigation app captured market share from Google, Mapquest, and other providers, with 25.6 million monthly users by 2018. Waze has exploited that unique value add by establishing a ride share component that allows users to find, connect and ride together at a fraction of the cost of Uber and Lyft, themselves industry disruptors. Waze is also being accessed by governments and researchers seeking real-time data collected by its users. In Israel, researchers are asking Waze users to report roadkill, so they can track animal collisions and reroute animal movements to avoid them. The city of Hampton Roads, VA is mining Waze traffic data to determine where flooding is most acute as they develop their flood maps. PROMOTED Japan BRANDVOICE | Paid Program Japan’s Lily MedTech Is Creating A Powerful New Tool To Fight Breast Cancer Civic Nation BRANDVOICE | Paid Program Connecting Music’s Future With Today’s Leaders UNICEF USA BRANDVOICE | Paid Program COVID-19 Threatens The World's Children In More Ways Than One We know OpenTable as the restaurant reservation system, but OpenTable has revolutionized the entire restaurant industry. By compiling a comprehensive database of dates, names, places, check size and so on, OpenTable creates operational advantages for its food and beverage customers. It provides the infrastructure to manage those reservations, assign tables, recognize repeat diners and remember diner preferences. It also allows restaurants to better manage costs by staffing correctly and minimizing food waste. The Story of AI in Autism Services The frame-breaking opportunities are similarly ripe in the autism services industry. The platform created by Cognoa, a Palo Alto-based pediatric behavioral health program, uses machine learning and predictive analytics to analyze parent input of behavioral information to diagnose autism earlier. This allows intervention and customized education to begin in the critical early years of a child’s brain development. Another AI solution developed by Brain Power, helps autistic individuals manage their emotions with a wearable digital coach that recognizes social situations and guides the user towards appropriate responses. This facilitates increased functional independence, also enabling some to interact more effectively in a standard workplace setting. Monitors and wearable devices can also deliver a plethora of health, activity, and geographic information about clients in real time. With some analysis, staff could correlate patient meltdowns with changes in physiological ratios such as a spike in blood sugar levels, increased heart rate and sweating. As an example, for individuals whose sugar intake is correlated with aggression, making dietary changes and collaborating with parents to monitor sugar and carbohydrate intake could reduce the frequency of outbursts and the required interventions, and would improve client outcomes and quality of life. AI’s Impact Is Clinical and Operational The business imperative for artificial intelligence covers the operational aspects of the autism services business as well. Employing this new business intelligence would enable service providers to tackle issues such as scheduling in a more targeted manner. If traffic on Friday afternoons in one location is causing sessions to start late, for example, modifications can be made to maximize session time. This avoids the current practice of implementing policy and process changes across the board that may have negative impacts on service delivery in a different location where Friday afternoon traffic is not an issue. It is an ongoing process: continuing use of these tools could help determine which modifications were working and whether they were creating cancellation bulges elsewhere in the schedule. The artificial intelligence that drives these revelations is the business imperative of the future of autism services, if not the present. It will eventually be a normal part of every autism service enterprise, as it already is in many industries. The early adopters will exploit a market inefficiency to deliver services that their competitors lack. Ronit Molko

How AI Can Transform the Autism Services Industry

Imagine providing parents with an app that enables them to upload videos of their children, analyzed by computers applying algorithms to diagnose autism earlier in their development than currently possible.

Imagine equipping autistic individuals with smart glasses that whisper instructions for navigating social situations in the user’s ear.

Imagine two-foot-tall humanoid robots that could serve as therapists for use in treating children with autism.

Artificial intelligence (AI) has made all this possible today. AI, equipped with machine learning, is improving constantly, and is positioned to become a critical adjunct to the human element in the diagnosis and treatment of autism. The operational and clinical advantages these advances convey are creating added value propositions for those enterprises that embrace it.

AI Disruptors in Other Industries

The ground for these paradigm-shifting advances has been well-trod in other industries. Consider how Waze disrupted the navigation business less than a decade ago. When other mapping apps stumbled to diagnose traffic jams and redirect travelers, Waze crowd-sourced traffic reports and provided real-time data about traffic incidents, speed limits, speed traps, and other valuable trip information to navigate the fastest possible route. As a result, the navigation app captured market share from Google, Mapquest, and other providers, with 25.6 million monthly users by 2018.

Waze has exploited that unique value add by establishing a ride share component that allows users to find, connect and ride together at a fraction of the cost of Uber and Lyft, themselves industry disruptors. Waze is also being accessed by governments and researchers seeking real-time data collected by its users. In Israel, researchers are asking Waze users to report roadkill, so they can track animal collisions and reroute animal movements to avoid them. The city of Hampton Roads, VA is mining Waze traffic data to determine where flooding is most acute as they develop their flood maps.

The Story of AI in Autism Services

The frame-breaking opportunities are similarly ripe in the autism services industry.  The platform created by Cognoa, a Palo Alto-based pediatric behavioral health program, uses machine learning and predictive analytics to analyze parent input of behavioral information to diagnose autism earlier. This allows intervention and customized education to begin in the critical early years of a child’s brain development.

Another AI solution developed by Brain Power, helps autistic individuals manage their emotions with a wearable digital coach that recognizes social situations and guides the user towards appropriate responses. This facilitates increased functional independence, also enabling some to interact more effectively in a standard workplace setting.

Monitors and wearable devices can also deliver a plethora of health, activity, and geographic information about clients in real time. With some analysis, staff could correlate patient meltdowns with changes in physiological ratios such as a spike in blood sugar levels, increased heart rate and sweating.

As an example, for individuals whose sugar intake is correlated with aggression, making dietary changes and collaborating with parents to monitor sugar and carbohydrate intake could reduce the frequency of outbursts and the required interventions, and would improve client outcomes and quality of life.

AI’s Impact Is Clinical and Operational

The business imperative for artificial intelligence covers the operational aspects of the autism services business as well. Employing this new business intelligence would enable service providers to tackle issues such as scheduling in a more targeted manner. If traffic on Friday afternoons in one location is causing sessions to start late, for example, modifications can be made to maximize session time.

This avoids the current practice of implementing policy and process changes across the board that may have negative impacts on service delivery in a different location where Friday afternoon traffic is not an issue. It is an ongoing process: continuing use of these tools could help determine which modifications were working and whether they were creating cancellation bulges elsewhere in the schedule.

The artificial intelligence that drives these revelations is the business imperative of the future of autism services, if not the present. It will eventually be a normal part of every autism service enterprise, as it already is in many industries. The early adopters will exploit a market inefficiency to deliver services that their competitors lack.

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