PatchAi Startup has Arrived in the Market to Support Patients and Clinical Research

PatchAiPatchAi - a startup that offers, thanks to Artificial Intelligence and Machine Learning, an empathic virtual assistant to patients participating in clinical trials - announced that it has closed two rounds of fundraising for about 900 thousand euros in 2019. The startup's service provision has been active since December 2019 and among the first PatchAi® clients is Novartis Italia, thus confirming its position as one of the fastest rising startups in the health sector.

In the last 15 months, the Padua based startup, led by CEO Alessandro Monterosso, has emerged victorious in 10 national and international competitions for over 300 thousand euros in prize money and services. The company has been accelerated by Unicredit Startup Lab and the European Institute of Technology (EIT Health) and now collaborates with international players such as IBM and HIT - University of Padua.

The ability to deliver: PatchAi's forte

In an era of transition to value-based healthcare, where patient centricity and real-time data generation (RWE) play a key role, the implementation of innovative digital solutions can provide double the value in improving patient care and collecting valuable healthcare data, reducing not only distance and time but also the costs of innovative drug trials.

In this scenario, PatchAi presents itself as the first cognitive platform offering an empathic virtual assistant for the collection and predictive analysis of patient reported data in Clinical Trials, opening the doors to a new frontier in patient engagement through the adoption of conversational ePRO(1) (Co-PROTM)(2).

The idea was born in the hospital wards across different countries where the 4 founders - Alessandro Monterosso, Filip Ivancic, Kumara Palanivel and Daniele Farro - worked in clinical research covering different roles (doctors, nurses, pharmacologists) and were able to experience first-hand the unexpressed needs of patients, communication barriers and often obsolete data collection practices. The team then convened at SDA Bocconi School of Management and, thanks to their participation in the Cariplo Factory's BioUpper acceleration program, they began working on the implementation of the idea, acquainting themselves with the main stakeholders in the sector.

Commitment, energy and, above all, great execution capacity were essential in enabling PatchAi® to become a real company where today, in addition to the team of four founders, more than 12 professionals are active collaborators. "Our next goal - says CEO Alessandro Monterosso - is to invest further in research and product development, continuing to focus on the internationalization of the market outreach and expansion into the B2C segment. All this so that "patient centricity" does not remain merely a concept but is translated into active patient involvement and improvement of their quality of life during clinical trials."

Investors and growth objectives

Believing in the PatchAi® team and project are important players and investors in the healthcare and digital health sector including UVCAP, Healthware Ventures, Padda Health and Avalanche Investments. In 2019 the startup was able to close two rounds, thus entering the market 12 months earlier than anticipated.

"I am very happy with our investment in an Italian digital health startup" - says Roberto Ascione, CEO of Healthware Group and President of Healthware Ventures. "PatchAi® comprises a team with high growth potential that strongly believes in its objectives. A factor that, as an entrepreneur and investor, I appreciate very much and that I am sure will be decisive in their future growth. PatchAi® also demonstrates the importance of working with patients in scientific research to develop innovative solutions."

For the next few years, management expects the business to experience strong growth with the goal of reaching more than 40,000 patients within the next 5 years and continue acheiveing their growth targets in the corporate and consumer sectors, both in Italy and globally.

For further information, please visit:
https://patchai.io/en/

About PatchAi®

It is an innovative start-up that has developed the first cognitive platform for collection and predictive analysis of data reported by patients in Clinical Trials, which opens the doors to a new frontier in patient engagement, thanks to the adoption of conversational ePRO (Co-PROTM). It is a Class I medical device, pending authorization, that uses technologies such as Artificial Intelligence and Machine Learning and integrates an empathic virtual assistant built on IBM® Watson. This technological integration makes it possible to assess patient needs, implement personalized strategies to achieve and maintain patient engagement, and collect valuable real world data on symptomatology, adverse events, therapy adherence and quality of life.

1. Per ePRO - Electronic Patient-Reported Outcomes: any report of the status of a patient's health condition that comes directly from the patient.
2. PatchAi ha registrato la tecnologia Co-PROTM (Conversational Patient-Reported Outcomes)

Most Popular Now

Researchers Invent AI Model to Design Ne…

Researchers at McMaster University and Stanford University have invented a new generative artificial intelligence (AI) model which can design billions of new antibiotic molecules that are inexpensive and easy to...

Alcidion and Novari Health Forge Strateg…

Alcidion Group Limited, a leading provider of FHIR-native patient flow solutions for healthcare, and Novari Health, a market leader in waitlist management and referral management technologies, have joined forces to...

Greater Manchester Reaches New Milestone…

Radiologists and radiographers at Northern Care Alliance NHS Foundation Trust have become the first in Greater Manchester to use the Sectra picture archiving and communication system (PACS) to report on...

AI-Based App can Help Physicians Find Sk…

A mobile app that uses artificial intelligence, AI, to analyse images of suspected skin lesions can diagnose melanoma with very high precision. This is shown in a study led from...

Powerful New AI can Predict People'…

A powerful new tool in artificial intelligence is able to predict whether someone is willing to be vaccinated against COVID-19. The predictive system uses a small set of data from demographics...

ChatGPT can Produce Medical Record Notes…

The AI model ChatGPT can write administrative medical notes up to ten times faster than doctors without compromising quality. This is according to a new study conducted by researchers at...

Can Language Models Read the Genome? Thi…

The same class of artificial intelligence that made headlines coding software and passing the bar exam has learned to read a different kind of text - the genetic code. That code...

Advancing Drug Discovery with AI: Introd…

A transformative study published in Health Data Science, a Science Partner Journal, introduces a groundbreaking end-to-end deep learning framework, known as Knowledge-Empowered Drug Discovery (KEDD), aimed at revolutionizing the field...

Study Shows Human Medical Professionals …

When looking for medical information, people can use web search engines or large language models (LLMs) like ChatGPT-4 or Google Bard. However, these artificial intelligence (AI) tools have their limitations...

Wanted: Young Talents. DMEA Sparks Bring…

9 - 11 April 2024, Berlin, Germany. The digital health industry urgently needs skilled workers, which is why DMEA sparks focuses on careers, jobs and supporting young people. Against the backdrop of...

Shared Digital NHS Prescribing Record co…

Implementing a single shared digital prescribing record across the NHS in England could avoid nearly 1 million drug errors every year, stopping up to 16,000 fewer patients from being harmed...

Bayer and Google Cloud to Accelerate Dev…

Bayer and Google Cloud announced a collaboration on the development of artificial intelligence (AI) solutions to support radiologists and ultimately better serve patients. As part of the collaboration, Bayer will...