PONS

Today, we need to democratize and decentralize the medical imaging and monitoring ecosystem in health care. Pre-hospital monitoring should be done anytime, anywhere, instantly, and should be accessible by everyone in order to prevent overcrowding hospitals and save time.

Creating a decentralized medical imaging hub will help the patients to access decent health care anywhere, but also provide an opportunity for the doctor to stay connected with the patients that have critical health conditions like the brain, spine injuries, women health conditions, and lung-liver problems.

PONS is an AI software solution that is integrated with existing mobile ultrasound probes and makes them intelligent and to be used outside the hospital so that you don't need any radiologist or doctor on the field to make the reading and diagnostics of the medical images that are scanned through the ultrasound probes

The current medical system is not designed to address the needs of patients living outside of major cities, doctors are unable to monitor their patients from afar. Today, we are living in an era where every day thousands of patients are traveling abroad for medical treatment, and what about those who cannot afford to travel even in their own countries? What about those who might need continuous monitoring at home? 

90 million people in the US are visiting hospitals, clinics 3 to 4 times a month, those are the people that need constant monitoring, and 50 million people can not afford to visit even once a month. 

The problem is becoming much more critical globally, 2 billion people don't have access to decent and smart health care solutions. The burden that is creating is reaching $ 1 trillion by the end of 2021.

Instead of investing a lot of money in hospitals and expensive systems, PONS will provide a per scan fee that will create a health care system accessible to everyone. Our forecast is to perform 40 million scans per year by the end of 2026.

PONS is an AI software solution that is integrated with existing mobile ultrasound probes and makes them intelligent and to be used outside the hospital so that you don't need any radiologist or doctor on the field to make the reading and diagnostics of the medical images that are scanned through the ultrasound probes. 

The PONS software solution is integrated with mobile ultrasound probes and makes them an intelligent AI system to be used outside the hospital. PONSs AI tool that analyzes the images and helps non-medically trained staff to make the reading and diagnostics of the medical images that are scanned through probes. It is able to auto-detect all the structures and tissues in the image and make reading and diagnostics of this automatically so that system can read any medical images from an ultrasound probe.

It enhances the skills of non-medically trained staff through image recognition and offers a tool for efficient, effective management of patients - outside of the hospital or clinic.

With PONS, consumers and non-medically trained staff can use mobile probes to take medical images of patients outside the hospital (and not need to return the patients to the hospital).

Almost 70% of the world’s population – lack access to safe, affordable digital health care, while 330 million people are saddled with unbearably high health expenses. Not surprisingly, the global poor suffer disproportionately: while low-income countries are home to close to 35% of humanity, they account for just 3.5% of all digital diagnostics and monitoring technologies.

Our target with PONS is to reach underserved, low-income communities and countries, we are especially focused on Women's Health Conditions. 

- Maternal Health ( preventing mortality rate )

- Pregnancy monitoring in rural areas

- Monitoring endometriosis

Every day over 1000 women die because of one of those complications which could be prevented easily by monitoring and remote medical imaging by utilizing an AI integrated ultrasound system.

Our mission is, To bring "affordable, high-quality medical imaging to all corners of the globe."

PONS will empower the world's medical community with cloud-based AI-driven ultrasound imaging, by making medical imaging accessible for everyone. AI-based medical ultrasound image system that will provide the patients access to decent health care anytime and anywhere at an affordable price, this will help millions of people to get proper treatment for critical health conditions like lung problems, kidney problems, and women's health conditions. The major factor behind the fear is the high cost of treatment in medical imaging clinics which makes the people who cannot afford the expensive medical imaging treatment all the time.

Millions of people in rural and remote areas lack access to even basic medical care. Patients who need specialized care must travel long distances, at enormous cost, just to receive a diagnosis. Being able to obtain medical care where they live could be life-changing for these people.

PONS™ (Portable On-Site Noninvasive Scanning) system that lets doctors and other medical professionals monitor patients outside the hospital or clinic. PONS™ can be used in situations where patients are unable to travel or when diagnostics capability is unavailable.

As of today, we have been focusing on developing the AI and Deep Learning algorithms of PONS. We have done 100 scans so far, and the accuracy rate is close to 85% and our goal is to increase it up to 95%. With our collaboration with the University of Minnesota and Rutgers University, we were able to work on trials with research universities. As a result, we also published white papers about our researches. 

 “We’re now looking at health in the same lens as when people bought books from Amazon, because that was the only thing Amazon was selling, but we completely failed to understand the dramatic impact of online retail, which was championed by Amazon. Telehealth is going to be for everything, so that’s the corner that we’re turning right now.”

PONS™ can be used in situations where patients are unable to travel or when diagnostics capability is unavailable. Unlike traditional ultrasound devices that don't use AI algorithms to capture images, PONS™ uses powerful algorithms and mobile ultrasound devices to detect the environment and disease markers.

By partnering with the University of Minnesota our strategic development will be to convert the way we use ultrasound technology. 

"PONS is an ultrasound patch that lets doctors monitor patients remotely for critical health, women health complications, and more"

Shifting from the Medical Staff as Users to Patients as Users.

Right now we are pre-market stage, our focus for the following years will be low-income communities and countries. 

Our target groups will be women and people with critical health conditions ( lung and kidney focus )

1st year: Reach to 100 women and 200 patients, provide 20k scans per year. 

2nd Year: Reach to 1000 women and 500 patients, provide 50k scans per year.

3rd Year: Reach to 2000 women and 3000 patients, provide 100k scans per year.

4th year: Reach to 5000 women and 10000 patients, provide 200k scans per year.

5th Year: Reach to 10000 women and 50000 patients, provide 500k scans per year.

We want to reach out to 1000 doctors that are working in the field. According to the studies of the UN and Accenture 5 Billion people don't have access to smart surgery and diagnostics systems in health care. we will spend over USD 12.3 Trillion by 2030 because of a lack of early diagnostics and monitoring systems. We want to reduce that amount by 25% 

Outcomes:

Patients connected with doctors remotely in a timely and easy manner.

Doctors are aware of and are responsive to patient conditions

Targets:

Achieve universal health coverage by providing access to quality health care to everyone.

Strengthen the capacity of all countries, in particular developing countries, for early warning, risk reduction, and management of national and global health risks.

Support the doctors to perform remote medical imaging for monitoring the health conditions of patients with chronic illness and provide access to affordable essential health care.

Indicators:

1. Access to Quality Health Care 

2. Cost reduction by 30%

3. Coverage of essential health services 

4. The proportion of the population with access to remote medical imaging

2, 1

Asst. Prof. Dr. Ilker Hacihaliloglu is the director of the Computer-Assisted Surgery and Therapy Laboratory (CompAST) at Rutgers University’s multidisciplinary research laboratory focusing on developing image-guided surgical systems. He has over 15 years of experience in computer-aided surgery and early diagnostics systems in the brain, cancer treatment fields.
Soner Hacıhaliloğlu,multi-time startup CEO founded deep-tech companies in different industries and has been working in Siemens Building Technologies for the last 12 years and was responsible for business development and strategy in emerging markets and the EU/MENA/US region.
 Our co-founder Asst.Prof.Dr. Ilker Haci has been developing Medtech for over 10 years at Rutgers. His research and development have been focused on integrating deep learning and AI algorithms into mobile ultrasound probes and make them intelligent and to be used outside the hospital as a point of diagnostics and monitoring systems.

Our commitment is to have 50% women board members and also to have 50% women-led engineering teams in PONS. 

We are also working on a project to train younger people in low-income communities to be able to provide a PONS system to their communities, they will be able to have a job in the digital health economy and also provide the necessary help to people living in remote areas. 

The health care system is very fragmented and also the innovation that is happening in health care is progressing very slow, one of the reasons is that startups have difficulty accessing finance, network, and people with decision power. 

Our goal is to be in a network that can support us to get in touch with executives, academic staff, and impact investors that can help us to develop PONS further.

We are now raising our Seed round of investment and we want to have investors that have knowledge on impact investment, biotech, healthtech that can support us to access new markets and develop new business models and strategic partnerships with Pharmacy and retail health chains, pharmaceutical and insurance companies. 

It is important to get mentorship and support to build our venture and also advisory/medical board. 

We would like to develop strategic partnerships with Medtech,  Biotech companies, pharmacy chains, pharmaceutical companies, and insurance companies. 

Our goal is to have access to companies like CVS, Walgreens, Pfizer, Cigna, American Life, AARP, Novartis, or other companies that are involved in the health care system. 

The health care system is not accessible for over 30% of the population in the US. 

The COVID-19 outbreak has spread its feathers of destruction around the globe with high infected caseloads and many fatalities. People with comorbidities are more prone to contracting COVID-19. Therefore, going to a hospital or clinic for treatment and diagnosis is not recommended for such people. To enable efficient care and quick diagnosis of patients with chronic illnesses, home diagnosis devices are a feasible option.

Hence, the broad range of clinical skills needed to be prepared for many different types of patients requires high-level clinical reasoning and decision-making skills. Prehospital care may also be conducted in difficult environments, in all kinds of weather conditions, 24 h a day, and a long way from medical support.

PONS medical imaging hubs will help the patients to get decent and affordable access to health care, especially targeted patients with no or limited health insurance that faces a high risk of health conditions.

Most patients with serious health problems must be seen in a hospital. This means that they must travel to the hospital from home. The inconvenience and costs for the patient are considerable.

We are developing an affordable mobile diagnostics technology by utilizing ultrasound technology. The system is meant to be used by doctors who serve in difficult circumstances and geographies like 3rd World countries, villages, immigration centers. Doctors without borders, Red Cross, UN, are some of the target groups that we want to reach and provide a smart and affordable diagnostics tool that can be used to track and monitor brain, spine injuries, and pregnancy progress in young women, where expensive and big systems can not be used. 
We want to reach out to 1000 doctors that are working in the field and donate our technology. According to the studies of the UN and Accenture 5 Billion people don't have access to smart surgery and diagnostics systems in health care. 

we will spend over USD 12.3 Trillion by 2030 because of a lack of early diagnostics and surgery systems. We want to reduce that amount by 25%