Breakthroughs
The trends reshaping healthcare
Healthcare is at an exciting tipping point. One where medical breakthroughs and technological innovations are converging to help clinicians deliver more personalized, ubiquitous, and preventive care. One where solutions can enable clinicians to set patients on the path to faster and more precise diagnosis and treatment, reduce the administrative burden, and help healthcare systems deliver value-based care. And this innovation is happening at a pace the healthcare industry has never experienced before.
It's a time of enormous progress and great momentum, as the actionable breakthroughs happening today will be the transformations we experience tomorrow. They will be the catalysts for helping us overcome the challenges of clinician burnout, fragmented healthcare systems and patients struggling to access the care they need, when and where they need it.
At GE HealthCare, we are motivated by these opportunities – not just for the potential they hold in 2024 but for their ability to reshape the future of healthcare and help improve the patient, clinician, and provider experience.
Mastering the
A breakthrough moment in healthcare
What's the breakthrough?
This combination of precision imaging and highly targeted therapies is also enabling broader adoption of a significant breakthrough in cancer care, Theranostics.
The pivot point in precision healthcare
As the global population ages, dementia, heart disease, and cancer are becoming increasingly prevalent. Heart disease is the #1 cause of death globally and dementia cases are expected to double every 20 years¹. Meanwhile, the global cancer burden is estimated to be over 28 million cases by 2040² — a 47% rise from 2020. The harsh reality is that most people in the world will soon know someone who has been affected by one of these diseases.
The significant progress in precision healthcare offers hope that we might overcome these challenges, revolutionizing how we predict, diagnose, and treat chronic diseases. By considering patients’ genes, environments, and lifestyles, healthcare providers can draw on technology to take a more personalized approach, using that unique data to deliver the right treatments to the right patients at the right time. In doing so, they can not only help improve patient outcomes but also help lower costs and ease pressure on our healthcare systems.
Recent advances are enabling precision healthcare to rapidly shift from prospect to reality. Driving this is a multi-faceted approach to diagnosing and treating patients. This approach combines precision diagnostic imaging, artificial intelligence-enabled digital tools that assist clinical decision-making, and highly targeted therapies based on the individual’s profile.
AI-powered digital tools
Driving this is a multi-faceted approach to diagnosing and treating patients
Precision diagnostic imaging
Highly targeted therapy
What will the future look like?
How do you see precision care advancing over the next decade?
Precision care in medicine is a holistic approach that integrates various technologies, including advanced medical imaging, AI, and molecular diagnostics, to tailor diagnosis, treatment, and ongoing monitoring and management for optimal patient outcomes.
Dr. Taha Kass-Hout,
Chief Technology Officer, GE HealthCare
Dr. Taha Kass-Hout
Precision healthcare is no longer a potential option, but increasingly today’s solution. The past few years have seen multiple data sets, including electronic health records, genomics, labs, precision imaging and highly targeted therapies integrated into patient care to enable far more personalized treatment.
In an advancement for Alzheimer's disease, the most common cause of dementia, the United States Food and Drug Administration has approved a promising new drug therapy targeting amyloid proteins. In the brain of someone living with Alzheimer’s, abnormal levels of amyloid proteins clump together to form plaques that collect between neurons and disrupt cell function. The therapy slows the progression instead of only addressing symptoms of this disease³.
Precision imaging — such as magnetic resonance imaging (MRI) and positron emission tomography (PET) — plays a critical role for these new amyloid targeting therapies. MRI scans capture an initial baseline image of the brain before treatment and can then be used by clinicians throughout treatment to help monitor for potential side effects. PET scans, which use an imaging agent to visualize the presence of brain amyloid, can be used by clinicians to support the evaluation of amyloid plaque in the brain.
The evolution of advanced digital solutions also plays an important role. It can help bring data together in the right place at the right time, enhancing workflow efficiencies and helping improve care quality — supporting better management of the growing Alzheimer’s population.
Case study
Theranostics had a life-changing impact for Doug and Ronald, two patients with advanced prostate cancer. Hear how precision healthcare revolutionized their oncology treatment, helping them manage and live with prostate cancer.
There are roughly
immunotherapies in development today across the healthcare industry.
Mastering the molecular
Synthesizing big data
Democratizing healthcare
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The pivot point of precision care
Democratizing healthcare with the help of technology
The great enabler: big data, cloud and AI
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What's happening?
Healthcare systems, clinicians and patients continue to feel the effects of the challenges magnified by the COVID-19 pandemic. These challenges — along with an aging population and increased disease incidences — are contributing to strained healthcare systems and leading to provider burnout, staff shortages, fragmented care collaboration and limited access to healthcare. Arising from these systemic issues, the World Health Organization estimates a shortfall of 10 million health workers in the next decade⁸, just as many healthcare systems anticipate a surge in demand.
So, what can be done?
To try to relieve some of the burden, healthcare administrators have more fully embraced technology to deliver more accessible, cost-effective models of care. The increased use of telehealth and virtual care⁹, as well as advancements in connected devices, artificial intelligence, and cloud solutions are contributing to changing how and where patients receive care.
The diagnosis, monitoring, and treatment of health is no longer confined to a single hospital or health system. New technology is helping decentralize access to advanced imaging and diagnostic equipment that has traditionally been the purview of specialists, expanding care services to more remote and underserved communities.
One in three patients say access to technology solutions that reduce the frequency of hospital visits and enable home-based care is a priority
What's the breakthrough?
A new era of democratized healthcare is being built on connected devices, artificial intelligence, and cloud technology. These innovations are expanding access to healthcare and speeding up diagnosis and treatment.
Advances in AI are, for example, enabling a broader range of users — including clinicians without specialized training — to guide the process to capture quality diagnostic images. These images can then be relayed via the cloud to specialists, potentially far away, who can review and make a diagnosis.
This is particularly valuable in remote areas where hospitals may be few and far between, as Vaishali Kamat, General Manager of New Ventures, Ultrasound Digital Solutions at GE HealthCare, explains. It means patients “don't have to travel miles and miles to find the right physician or the right hospital or wait for the radiology department to be freed up when they have an emergency,” she says. “They could be getting that care from a clinician closer to where they are.”
Enhanced point-of-care ultrasound devices use AI-driven technology to provide real-time guidance to less experienced users, such as medical students and other clinical care team members, on capturing diagnostic-quality images. This breakthrough expands the range of users, broadening access to healthcare, as well as helping expedite the time between imaging and diagnosis.
The result of the advancements in this technology is threefold. By democratizing healthcare, we may ease some of the effects of limited access to specialized clinicians, thereby enabling greater access to healthcare for patients so they get faster diagnosis and treatment. And by helping patients receive care earlier, we can also contribute to reducing treatment costs for both patients and healthcare systems.
Vaishali Kamat, General Manager of New Ventures, Ultrasound Digital Solutions, GE HealthCare
What will the future look like?
Over the next decade, artificial intelligence solutions have the potential to transform access to healthcare. They will help decentralize it, moving away from the reliance on hospitals towards meeting patients where they are. It means a far broader range of clinical users will be able to use advanced healthcare technology. And it will help deliver faster insights to clinicians, giving them more time and confidence when it comes to enhancing patient care.
Image processing software based on foundation models is continuing to develop. As it does, the vision is that medical imaging devices – whether portable ultrasound scanners or large in-hospital imaging equipment like PET, CT or MRI – will become more accurate and easier-to-use. And that they will help clinicians identify a wider range of diseases.
Across the industry, clinicians are seeing the benefits of AI solutions like machine learning and deep learning when it comes to dosage reductions, patient monitoring, reducing scan times, and predicting hospital length of stay. The next generation of AI can be viewed as an intelligent assistant, aiding clinicians in making faster, better-informed decisions, and relieving some of their administrative burden, giving clinicians more of what they want: time caring for their patients.
How do you think AI-powered technology will influence democratized healthcare?
Vaishali Kamat
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1/3
What's happening?
The average hospital produces 50 petabytes (PB) of data per year⁵. To put that in perspective, you would need to take 4,000 digital photos every single day over the span of an average lifetime to use “just” 1 PB of data. Yet approximately 97% of healthcare data typically remains unused⁶. Too often this abundance of data has added to clinicians’ administrative burden.
The good news is that a digital healthcare revolution is taking place around the world. Fifteen years ago, only 10% of hospitals in the United States had electronic medical records. Now, more than 96% of hospitals use them⁷. Advances in artificial intelligence and machine learning, big data analytics, and cloud connectivity is enabling that data to be put to work.
Today, an ever-expanding digitized ecosystem is driving fundamental change across our healthcare systems. Data is becoming more interoperable and interconnected, machine learning algorithms are continuously improving, and seamless 5G connectivity is increasingly universal.
This positively impacts a patient's continuum of care: from relieving the burden of the back-office, to creating a more seamless patient journey by providing a complete picture of the individual’s health and delivering more personal and precise care to a wider array of patients.
$ 1 Trillion
Potential workflow and productivity improvement opportunities
in the healthcare industry with tools such as Gen AI
What's the breakthrough?
Artificial Intelligence is not new to healthcare, but the advances of the last several years — particularly with AI tools that have become intertwined into everyday life — have helped with more widespread acceptance and adoption. AI tools are increasingly becoming interwoven into healthcare workflows, using real-time data to identify bottlenecks, risks, and barriers related to resources, patients, and personnel. They can then flag possible actions to help hospital staff prevent delays in the patient journey and reduce their length of stay in hospital.
Multimodal machine learning is making it easier to connect longitudinal data, including imaging, lab results, electronic medical records, and tumor sequences. This information can then be layered with analytics and AI to present clinicians with a more comprehensive picture of the patient’s health.
“What excites me about some of the latest technologies that are coming out with generative AI and foundation models is how, in the past, these models would have required months or years to be integrated. But they could eventually be embedded into the workflow in a matter of weeks and adapted across multiple disease care pathways, from oncology to cardiology to neurology,” says Parry Bhatia, Chief AI Officer at GE HealthCare.
“How we think about building these digital components — where capabilities learned on one disease can be transferred to another — is going to be really game-changing, in my opinion," Parry adds. “So far, we have built one application, one component at a time, which means that the process to scale would take either ‘X’ amount of people or ‘X’ number of resources. But now with the same resources, we hope to accelerate tenfold to really advance the future of healthcare.”
In the last 12 to 18 months we have seen an AI renaissance similar to what we saw with deep learning 10 years back. Things that in the last couple of years would be done in three to five years can now actually be done in the matter of year or even less.
Parry Bhatia, Chief AI Officer, GE HealthCare
How do you envision AI, big data and the cloud coming together to make healthcare more people-centric?
Parry Bhatia
What will the future look like?
Over the next decade, digital technology will be central to making healthcare more human. A common cause of clinician burnout is the amount of time spent on administrative tasks. Machine learning, artificial intelligence, and the cloud may help change that dynamic. Leveraging AI-enabled analytics can help clinicians spend less time deciphering data and more time at the bedside.
The benefits of AI extend to patients and healthcare systems too. Pairing the right data with the right diagnosis can benefit both the patient, by helping clinicians personalize their care, and the healthcare system, by identifying treatment plans earlier and thereby potentially reducing overall treatment costs.
Source: National Cancer Institute
Each patient case and story are unique. A personalized approach may help transform how clinicians diagnose and treat cancer. Theranostics integrates radiodiagnostics and radiotherapeutic agents to identify the precise location and target abnormal cells to help improve patient outcomes.
As Dr. Taha Kass-Hout, Chief Technology Officer at GE HealthCare points out: “The integration of accurate diagnostics and targeted therapy is important because it will enable finding the specific disease type that a patient has. For example, a patient's cancer is unique to them. By using advanced imaging techniques such as a PET scan followed by a series of other modalities of imaging, you will be able to assess initial characteristics of the tumor. You can then marry that with specific biomarkers — such as the genetic or pathologic makeup of that cancer — to know exactly what kind of radiotherapy you can target that tumor with.”
big data
Synthesizing
How technology is revolutionizing access to care
Footnotes:
1. Alzheimer's Disease Facts and Figures, Alzheimer’s Association: https://www.alz.org/alzheimers-dementia/facts-figures
2. Global Cancer Statistics 2020 — GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries, CA: A Cancer Journal for Clinicians: https://pubmed.ncbi.nlm.nih.gov/33538338/
3. Lecanemab in Early Alzheimer’s Disease, The New England Journal of Medicine: https://www.nejm.org/doi/full/10.1056/NEJMoa2212948
4. Harnessing Imaging Tools to Guide Immunotherapy Trials: Summary from the National Cancer Institute Cancer Imaging Steering Committee Workshop, Lancet Oncology: https://pubmed.ncbi.nlm.nih.gov/36858729/
5. 4 Ways Data Is Improving Healthcare, World Economic Forum: https://www.weforum.org/agenda/2019/12/four-ways-data-is-improving-healthcare/
6. Health Data — A Holistic Approach to Unlock the Value of Health Data, Deloitte: https://www2.deloitte.com/content/dam/Deloitte/be/Documents/life-sciences-health-care/Health%20Data.pdf
7. Medical Data Sharing: Are We There Yet? Computerworld: https://www.computerworld.com/article/3702109/medical-data-sharing-electronic-health-record-exchanges.html
8. Health Workforce, World Health Organization: https://www.who.int/health-topics/health-workforce
9. Virtual Hospitals Could Offer Respite to Overwhelmed Health Systems, McKinsey & Company: https://www.mckinsey.com/industries/healthcare/our-insights/virtual-hospitals-could-offer-respite-to-overwhelmed-health-systems
How artificial intelligence and the cloud are enabling a more comprehensive patient view
healthcare
molecular
Mastering the molecular
Synthesizing big data
Democratizing healthcare
of clinicians believe that AI can support clinical decision-making
61%
Source: Reimagining Better Health report, GE HealthCare
Source: McKinsey & Company
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Democratizing healthcare
Synthesizing big data
Mastering the molecular
Chief Technology Officer, GE HealthCare
Chief AI Officer, GE HealthCare
General Manager of New Ventures, Ultrasound Digital Solutions, GE HealthCare
About Us
Democratizing healthcare
What's happening?
Case study
From X-rays and lasers to computer-guided surgical robots, medicine is constantly innovating to help clinicians improve patients’ lives.
Case study
Japan’s population is aging faster than any other country on earth, with almost 30% of its population being aged of 65 and older. And 8% of the population lives in remote areas, many of them, with difficult access to proper care. Dr. Keigo Yasukawa has dedicated his life to make quality care more accessible to the people living in the remote island of Miyakojima, with the use of point of care ultrasound… and sometimes, a jet ski.
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Transforming lives with precision healthcare
Connecting the Dots: What’s Ahead for AI
in Healthcare
The jet ski doctor: making quality healthcare accessible
The driver of the next decade of precision healthcare across the industry is the possibility of an ecosystem of technology coming together to enable clinicians to help deliver improved patient outcomes. From bioinformatics, gene sequencing and drug discovery, to molecular diagnostics and big data analytics enabled by artificial intelligence.
New advancements hold the potential to help clinicians address chronic diseases. Using advanced imaging and multi-modal data from across a patient’s care journey, clinicians may be better able to identify disease earlier and determine patient-specific treatment pathways.
In addition to Theranostics, there is a rapid rise in immunotherapy treatments, which trigger the immune system to recognize and attack tumors. There are roughly 5,000 immunotherapies in development across the healthcare industry today⁴. These will rely on advanced imaging and AI predictive models to improve response rates by identifying which patients will be more likely to respond to treatment without adverse reactions.
The synergy between novel drug therapy and precision imaging marks a significant advancement in tailoring effective care. Possibilities exist to reduce the strain on healthcare systems, with greater diagnostic and treatment capabilities contributing to overall better care for patients and their families. There is also the potential to ease clinician burnout, help lower costs and relieve pressure on health systems. Precision healthcare is a rapidly growing discipline with a bright future.
A breakthrough moment in healthcare
What's happening?
What's the breakthrough?
What will the future look like?
Dr. Taha Kass-Hout
Chief Technology Officer, GE HealthCare
Theranostics had a life-changing impact for Doug and Ronald, two patients with advanced prostate cancer. Hear how precision healthcare revolutionized their oncology treatment, helping them manage and live with prostate cancer.
Synthesizing
big data
How artificial intelligence and the cloud are enabling a more comprehensive patient view
Mastering the
molecular
The pivot point in precision healthcare
What's happening?
Source: McKinsey & Company
What's the breakthrough?
In the last 12 to 18 months we have seen an AI renaissance similar to what we saw with deep learning 10 years back. Things that in the last couple of years would be done in three to five years can now actually be done in the matter of year or even less.
Parry Bhatia,
Chief AI Officer, GE HealthCare
What will the future look like?
Parry Bhatia
Chief AI Officer, GE HealthCare
Case study
Connecting the Dots: What's Ahead of AI in Healthcare
From X-rays and lasers to computer-guided surgical robots, medicine is constantly innovating to help clinicians improve patients’ lives.
Democratizing
healthcare
How technology is revolutionizing access to care
What's happening?
What will the future look like?
Over the next decade, artificial intelligence solutions have the potential to transform access to healthcare. They will help decentralize it, moving away from the reliance on hospitals towards meeting patients where they are. It means a far broader range of clinical users will be able to use advanced healthcare technology. And it will help deliver faster insights to clinicians, giving them more time and confidence when it comes to enhancing patient care.
Image processing software based on foundation models is continuing to develop. As it does, the vision is that medical imaging devices – whether portable ultrasound scanners or large in-hospital imaging equipment like PET, CT or MRI – will become more accurate and easier-to-use. And that they will help clinicians identify a wider range of diseases.
Across the industry, clinicians are seeing the benefits of AI solutions like machine learning and deep learning when it comes to dosage reductions, patient monitoring, reducing scan times, and predicting hospital length of stay. The next generation of AI can be viewed as an intelligent assistant, aiding clinicians in making faster, better-informed decisions, and relieving some of their administrative burden, giving clinicians more of what they want: time caring for their patients.
What's the breakthrough?
The result of the advancements in this technology is threefold. By democratizing healthcare, we may ease some of the effects of limited access to specialized clinicians, thereby enabling greater access to healthcare for patients so they get faster diagnosis and treatment. And by helping patients receive care earlier, we can also contribute to reducing treatment costs for both patients and healthcare systems.
Vaishali Kamat,
General Manager of New Ventures, Ultrasound Digital Solutions, GE HealthCare
Case study
The jet ski doctor: making quality healthcare accessibile
How do you think AI-powered technology will influence democratized healthcare?
Vaishali Kamat
General Manager of New Ventures, Ultrasound Digital Solutions, GE HealthCare
Footnotes:
1. Alzheimer's Disease Facts and Figures, Alzheimer’s Association: https://www.alz.org/alzheimers-dementia/facts-figures
2. Global Cancer Statistics 2020 — GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries, CA: A Cancer Journal for Clinicians: https://pubmed.ncbi.nlm.nih.gov/33538338/
3. Lecanemab in Early Alzheimer’s Disease, The New England Journal of Medicine: https://www.nejm.org/doi/full/10.1056/NEJMoa2212948
4. Harnessing Imaging Tools to Guide Immunotherapy Trials: Summary from the National Cancer Institute Cancer Imaging Steering Committee Workshop, Lancet Oncology: https://pubmed.ncbi.nlm.nih.gov/36858729/
5. 4 Ways Data Is Improving Healthcare, World Economic Forum: https://www.weforum.org/agenda/2019/12/four-ways-data-is-improving-healthcare/
6. Health Data — A Holistic Approach to Unlock the Value of Health Data, Deloitte: https://www2.deloitte.com/content/dam/Deloitte/be/Documents/life-sciences-health-care/Health%20Data.pdf
7. Medical Data Sharing: Are We There Yet? Computerworld: https://www.computerworld.com/article/3702109/medical-data-sharing-electronic-health-record-exchanges.html
8. Health Workforce, World Health Organization: https://www.who.int/health-topics/health-workforce
9. Virtual Hospitals Could Offer Respite to Overwhelmed Health Systems, McKinsey & Company: https://www.mckinsey.com/industries/healthcare/our-insights/virtual-hospitals-could-offer-respite-to-overwhelmed-health-systems
Mastering the molecular
Mastering the molecular
Synthesizing big data
Synthesizing big data
Democratizing healthcare
Democratizing healthcare
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About Us
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Compliance
Contact Us
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Cookies
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Security
United States
Synthesizing
big data
How artificial intelligence and the cloud are enabling a more comprehensive patient view
In the last 12 to 18 months we have seen an AI renaissance similar to what we saw with deep learning 10 years back. Things that in the last couple of years would be done in three to five years can now actually be done in the matter of year or even less.
Democratizing
healthcare
How technology is revolutionizing access to care
The Pivot Point
of Precision Care
What’s happening?
Photo credit: Shutterstock AI imagery
It’s a sad fact that we likely all know someone who’s been affected by dementia, heart disease or cancer. And as the global population ages these conditions will only become more prevalent. Heart disease is the #1 cause of death globally, dementia cases are expected to double every 20 years, and by 2040, the global cancer burden is estimated to be over 28 million cases, a 47% rise from 2020.
Precision care offers hope that we might overcome these enormous challenges – revolutionizing how we predict, diagnose, and treat chronic diseases. By considering people's genes, environments, and lifestyles, we can take a far more personalized approach, using that unique data to deliver the right treatments to the right patients at the right time. And in doing so, not only improve patient outcomes but lower costs and ease pressure on our healthcare systems.
This is, of course, not a new concept. But recent advances are enabling precision care to rapidly shift from prospect to reality. Driving this is a multi-faceted approach to diagnosing and treating patients – combining precision diagnostic imaging, AI-powered digital tools that assist decision-making, and highly targeted therapies based on the individual’s profile.
For example, new treatments such as immunotherapy for cancer often require precise diagnostic imaging to help identify qualifying patients, track disease progression and spot potentially serious adverse effects.
Driving this is a multi-faceted approach to diagnosing and treating patients
Precision care in medicine is a holistic approach that integrates various technologies, including advanced medical imaging, AI, and molecular diagnostics, to tailor diagnosis, treatment, and ongoing monitoring and management for optimal patient outcomes.
Dr. Taha Kass-Hout
What is the breakthrough?
Precision care is no longer tomorrow’s vision, but increasingly today’s solution. Why? Well, we now have proof of concept. The past few years has seen multiple data sets, including electronic health records, genomics, labs, precision imaging and highly targeted therapies, integrated into patient care to enale far more personalized treatment.
An exciting example of this is in the tackling of Alzheimer’s disease, the most common cause of dementia. Historically, medications and therapies have been of limited effectiveness, treating the symptoms rather than addressing the cause. However, in July 2023, the U.S. FDA approved a new therapy that targets amyloid proteins. In the Alzheimer’s brain, abnormal levels of this protein clump together to form plaques that collect between neurons and disrupt cell function. The new therapy relies on the use of four MRI scans taken before and during treatment. It also incorporates positron emission tomography (PET) scans that use an imaging agent to visualize the presence and location of amyloid in the brain.
Given the many types of cancer, the different ways it can present itself, and how each individual responds to the disease, a personalized approach to diagnosis and treatment is critical. Theranostics integrates radiodiagnostics and radiotherapeutic agents with molecular imaging technologies to identify the precise location and extent of diseased tissue. It then selectively destroys the abnormal cells while minimizing damage to the surrounding healthy one.
This combination of precision imaging and highly targeted therapies is also enabling one of the biggest breakthroughs in how we tackle cancer - Theranostics.
What will the future look like?
Theranostics: Steve’s miracle
5,000
There are roughly
immunotherapies in development today.
AI-powered digital tools
Precision diagnostic imaging
Highly targeted therapy
Steve Fabiano was suffering from a rare form of prostate cancer and potentially weeks from death when he underwent Theranostics treatment as a last-ditch effort to save his life. This is the story of his remarkable recovery.
Theranostics is at the vanguard of a new era of precision care. In the next decade, we will see huge advances in how we tackle chronic disease as advanced imaging and data from across a patient’s care journey are used to identify disease earlier and create more personalized treatments.
This shift can be seen in the rapid rise in immunotherapy treatments, which trigger the immune system to recognize and attack tumors. There are roughly 5,000 immunotherapies in development today and these will rely on advanced imaging and AI predictive models to improve response rates by identifying which patients will be more likely to respond to treatment without adverse reactions.
To enable this integrated approach, healthcare providers will increasingly need to bring the full technology solution on premise. For example, having state-of-the-art cyclotrons on-site so they can produce the imaging tracers that PET molecular imagining relies on. This reflects the driver behind the next decade of precision care – an ecosystem of technology coming together to deliver improved patient outcomes. From bioinformatics, gene sequencing and drug discovery, to molecular diagnostics for precision medicine and big data analytics powered by AI.
How do you see personalised care advancing in the next decade?
Dr. Taha Kass-Hout
Precision care is a young discipline, with a bright future. A future where new therapies based on individual patient profiles are not
only more effective, but also help reduce cost and relieve pressure
on health systems.
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Breakthroughs The trends reshaping healthcare