(Transcription)
Susan Wood 0:00
very much. Good morning. I'm Susan wood. I'm the CEO of Vida. And I'm looking forward to talking to you about the global crisis that we have in the lung and lung disease and the unmet need to get new therapeutics to market with greater efficiency, and with greater equality, and the infusion of information and analytics from Vida and technology to make this happen. So we are living in a global global crisis for lung disease, and that global crisis existed before COVID. But COVID brought this global crisis to the fore. So patients with lung disease, underlying lung disease that had that got COVID had much poor outcomes. But the the global incidence, prevalence, mortality and economic burden from lung disease was evidence way before COVID added to that is now this onslaught of new COVID cases of new cases of, of lung of COVID cases. And these cases have patients with existing lung disease are much more vulnerable to lung disease in their futures. So this presents both a opportunity and a challenge for the biopharmaceutical companies to get these new therapeutics targeted therapeutics to market and a faster and more efficient and higher quality way. Now, one of the challenges of the lung is that in comparison to these other clinical categories, it has been underfunded, it's been underfunded in r&d, it's been underfunded, less funded in the venture and venture capital. And this underfunding now has consequences. So you can see the greater outcomes, better outcomes with these other disease classes, not so much when it comes to lung disease, there's still the mortality rate is still on the rise. One of the disincentives to investing in the loan is that these lung trials to get a new therapeutic to market they're slow, and they're very costly, and that disincentivizes investment and particular to the lung, or that makes these these these clinical trials much more arduous, or that there's greater subjectivity, in efficiency, and imprecision, all these things blocked the progress and I categorize them into three broad buckets, poor subject, recruitment, and, and management, poor site management and specific to the lung, poor data, data quality data management, and precision endpoints by which to we can evaluate these therapeutics to get those get them to market, so VITAS intelligence solution unblocks. These barriers, Vita presents within a cloud based data intelligence portal, resources, rich resources that are available to both sponsor and to the site that enable these sites to be performed more efficiently. And with higher quality. We have a large database of disease specific evidence that's been mined for patients and populations with lung disease over many time points. And it is highly curated. We have validated, clinically validated many 50 biomarkers that are very precision metrics by which we can automatically measure the progression, progression of lung disease and the response to a therapeutic. We input this information into our AI algorithms. And they specifically attack these problems of better patient, subject matching, but more efficient site management and quantitative and precision endpoints by which these therapies can be evaluated. So specifically, and very quickly, our VT intelligence portal on a site can prospectively or retrospectively to an existing database screen subjects for trial, knowing the inclusion exclusion criteria that trial and can better match and more efficiently match subjects to trials. Similarly, are that Vita intelligence portal sitting on site and AI that is running a clinical trial, we have the ability to train to automatically trained to otter let medically monitor those sites for performance. And we can reduce the inefficiencies and the variability in that trial that lead to these advanced timelines. We certify these sites to be able to perform imaging trials and then and that certification, we've established over 1000 sites worldwide, that we can now reuse more easily and onboard those for the next, the next generation of clinical trials. As I mentioned, we have a biomarker library that's clinically validated with over 50 biomarkers. Again, they measure the existence, the progression or regression of lung disease on their comorbidities, and the response to a therapeutic at a precision level. So we can measure structural and functional change at a very precise level and much earlier than the process of of using traditional endpoints now in clinical trials. So why does this matter to biopharma because sponsors need faster, less costly, higher quality respiratory trials, and Vida's intelligence solution enables more efficient trials and a faster time to market precision measures equate to fewer subjects, and stronger data, optimize, optimize up operations equate to shorter, shorter trial times and reduce costs. And that equals real value to the farmer to the biopharmaceutical sponsor. So Vida accelerates drug development pipelines and therefore isn't able to get these therapeutics to the patients and populations in need. We have more, our intelligence solution can develop more and more targeted therapies with faster timelines and lower cost, enabling these solutions to get to market and increase the profit margins of the biopharmaceutical sponsors. And indeed, enhances our addressable market, we have now a discovery, the travel development to a recovery solution that it can attack the development of that of that therapy, as well as matching the patient to that therapy. Once that drug goes to market. Now we've had significant traction. We have over 1500 sites that we've contracted globally, we have growth revenue, bookings, and backlog a SaaS business model. We have very, very strong partnerships and growth partnerships. We have validated our solution, and over 70 clinical trials, and we have regulatory approvals in four geographies, and as the fifth is pending. Just to go and a little bit further into these growth financials. We have growth in our sights, our recurring revenue, our bookings, and our pipeline year over a year 2020 to 2021. And we are forecast to continue that growth in 2022 and beyond. So, on behalf of my team, I want to thank you for your time and I look forward to talking to you further about Vida.
Dr. Wood has 20+ years of experience championing innovative clinical solutions to the marketplace, from concept to revenue.
Dr. Wood most recently held the position of Executive Vice President of Marketing and Technology for Vital Images, an innovative advanced visualization software company. Prior to Vital Images, Dr. Wood served as VP of marketing at R2 Technology (now Hologic), where she championed the development, regulatory approval and commercial release of the first FDA approved (PMA) software product for the automatic detection of lung nodules in both diagnostic and screening chest CT examinations.
Dr. Wood received her Ph.D. from the Johns Hopkins Medical Institutions, School of Hygiene and Public Health. Her Ph.D. work combined quantifying three-dimensional lung structure with changes in lung function using high-resolution CT imaging. She also holds a Master of Science degree in Biomedical Engineering from Duke University, and a Bachelor of Science in Engineering from the University of Maryland, College Park.
Dr. Wood has been issued six patents in the field of computer-aided detection and quantitative imaging; authored numerous book chapters, peer-reviewed papers, abstracts, and served as a speaker at numerous conferences in the area of three-dimensional imaging of the thorax, quantitative imaging and computer-aided detection.
Dr. Wood has 20+ years of experience championing innovative clinical solutions to the marketplace, from concept to revenue.
Dr. Wood most recently held the position of Executive Vice President of Marketing and Technology for Vital Images, an innovative advanced visualization software company. Prior to Vital Images, Dr. Wood served as VP of marketing at R2 Technology (now Hologic), where she championed the development, regulatory approval and commercial release of the first FDA approved (PMA) software product for the automatic detection of lung nodules in both diagnostic and screening chest CT examinations.
Dr. Wood received her Ph.D. from the Johns Hopkins Medical Institutions, School of Hygiene and Public Health. Her Ph.D. work combined quantifying three-dimensional lung structure with changes in lung function using high-resolution CT imaging. She also holds a Master of Science degree in Biomedical Engineering from Duke University, and a Bachelor of Science in Engineering from the University of Maryland, College Park.
Dr. Wood has been issued six patents in the field of computer-aided detection and quantitative imaging; authored numerous book chapters, peer-reviewed papers, abstracts, and served as a speaker at numerous conferences in the area of three-dimensional imaging of the thorax, quantitative imaging and computer-aided detection.
(Transcription)
Susan Wood 0:00
very much. Good morning. I'm Susan wood. I'm the CEO of Vida. And I'm looking forward to talking to you about the global crisis that we have in the lung and lung disease and the unmet need to get new therapeutics to market with greater efficiency, and with greater equality, and the infusion of information and analytics from Vida and technology to make this happen. So we are living in a global global crisis for lung disease, and that global crisis existed before COVID. But COVID brought this global crisis to the fore. So patients with lung disease, underlying lung disease that had that got COVID had much poor outcomes. But the the global incidence, prevalence, mortality and economic burden from lung disease was evidence way before COVID added to that is now this onslaught of new COVID cases of new cases of, of lung of COVID cases. And these cases have patients with existing lung disease are much more vulnerable to lung disease in their futures. So this presents both a opportunity and a challenge for the biopharmaceutical companies to get these new therapeutics targeted therapeutics to market and a faster and more efficient and higher quality way. Now, one of the challenges of the lung is that in comparison to these other clinical categories, it has been underfunded, it's been underfunded in r&d, it's been underfunded, less funded in the venture and venture capital. And this underfunding now has consequences. So you can see the greater outcomes, better outcomes with these other disease classes, not so much when it comes to lung disease, there's still the mortality rate is still on the rise. One of the disincentives to investing in the loan is that these lung trials to get a new therapeutic to market they're slow, and they're very costly, and that disincentivizes investment and particular to the lung, or that makes these these these clinical trials much more arduous, or that there's greater subjectivity, in efficiency, and imprecision, all these things blocked the progress and I categorize them into three broad buckets, poor subject, recruitment, and, and management, poor site management and specific to the lung, poor data, data quality data management, and precision endpoints by which to we can evaluate these therapeutics to get those get them to market, so VITAS intelligence solution unblocks. These barriers, Vita presents within a cloud based data intelligence portal, resources, rich resources that are available to both sponsor and to the site that enable these sites to be performed more efficiently. And with higher quality. We have a large database of disease specific evidence that's been mined for patients and populations with lung disease over many time points. And it is highly curated. We have validated, clinically validated many 50 biomarkers that are very precision metrics by which we can automatically measure the progression, progression of lung disease and the response to a therapeutic. We input this information into our AI algorithms. And they specifically attack these problems of better patient, subject matching, but more efficient site management and quantitative and precision endpoints by which these therapies can be evaluated. So specifically, and very quickly, our VT intelligence portal on a site can prospectively or retrospectively to an existing database screen subjects for trial, knowing the inclusion exclusion criteria that trial and can better match and more efficiently match subjects to trials. Similarly, are that Vita intelligence portal sitting on site and AI that is running a clinical trial, we have the ability to train to automatically trained to otter let medically monitor those sites for performance. And we can reduce the inefficiencies and the variability in that trial that lead to these advanced timelines. We certify these sites to be able to perform imaging trials and then and that certification, we've established over 1000 sites worldwide, that we can now reuse more easily and onboard those for the next, the next generation of clinical trials. As I mentioned, we have a biomarker library that's clinically validated with over 50 biomarkers. Again, they measure the existence, the progression or regression of lung disease on their comorbidities, and the response to a therapeutic at a precision level. So we can measure structural and functional change at a very precise level and much earlier than the process of of using traditional endpoints now in clinical trials. So why does this matter to biopharma because sponsors need faster, less costly, higher quality respiratory trials, and Vida's intelligence solution enables more efficient trials and a faster time to market precision measures equate to fewer subjects, and stronger data, optimize, optimize up operations equate to shorter, shorter trial times and reduce costs. And that equals real value to the farmer to the biopharmaceutical sponsor. So Vida accelerates drug development pipelines and therefore isn't able to get these therapeutics to the patients and populations in need. We have more, our intelligence solution can develop more and more targeted therapies with faster timelines and lower cost, enabling these solutions to get to market and increase the profit margins of the biopharmaceutical sponsors. And indeed, enhances our addressable market, we have now a discovery, the travel development to a recovery solution that it can attack the development of that of that therapy, as well as matching the patient to that therapy. Once that drug goes to market. Now we've had significant traction. We have over 1500 sites that we've contracted globally, we have growth revenue, bookings, and backlog a SaaS business model. We have very, very strong partnerships and growth partnerships. We have validated our solution, and over 70 clinical trials, and we have regulatory approvals in four geographies, and as the fifth is pending. Just to go and a little bit further into these growth financials. We have growth in our sights, our recurring revenue, our bookings, and our pipeline year over a year 2020 to 2021. And we are forecast to continue that growth in 2022 and beyond. So, on behalf of my team, I want to thank you for your time and I look forward to talking to you further about Vida.
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