Precision medicine through AI

Precision Medicine and Precision Health

  • Precision Health

    Precision health is all about taking a more personalized approach to keeping people healthy, rather than just treating illness when it happens. Unlike traditional healthcare, which often focuses on general recommendations for large groups, precision health looks at the unique details of each person—like their genetics, lifestyle, environment, and even their habits—to tailor wellness plans specifically for them.

     

    With the help of technology and AI tools, we can now predict certain health risks and take steps to keep you as healthy as possible. It’s a proactive approach—aiming not just to treat illness, but to keep you well in a way that fits your life, your body, and your needs.

  • Precision Medicine

    Precision medicine is a modern approach to healthcare that moves away from the traditional “one-size-fits-all” model of treating patients. Instead, it focuses on tailoring treatments and medical care to each individual’s unique characteristics. This includes considering factors like your genetic makeup, environment, lifestyle, and even the specific details of the disease someone is facing.

     

    With advances in technology, especially in fields like imaging and artificial intelligence (AI), we can now gather and analyze vast amounts of data to predict which treatments will work best for a given patient. This means less trial and error, fewer side effects, and overall better outcomes. It’s about giving the right treatment to the right patient at the right time.

Precision medicine: redefining healthcare

It turns out that precision medicine is transforming healthcare treatments through customization guided by the inherent genetic, environmental, and lifestyle components in each individual. This innovative approach goes beyond the traditional “one-size-fits-all” method, offering therapies designed specifically to meet each patient’s needs. As a result, precision medicine now, thanks to advanced artificial intelligence and data analytics, equips healthcare professionals with the ability to predict disease risks, choose the most effective treatment strategies in advance, and reduce side effects. This transformation has already started improving patient care by helping provide more precise and timely interventions, driving better outcomes in terms of quality of life.

In the age of the data-driven ecosystem, companies like ours are using next-generation AI to process massive volumes of healthcare data and provide hyper-personalized information. At Quibim, we use our advanced AI platform to equip physicians with the tools they need to make decisions on individualized patients in real time. This allows for earlier diagnosis of diseases, improved ability to predict how patients will respond to different treatments, and the development of more personalized approaches for therapy. Through a merger of precision medicine and AI, we are moving closer to a healthcare future where diagnosis is based on health rather than disease.

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Precision Medicine Quibim
At Quibim, we are developing the next wave of image-based diagnostics for precision medicine

Developing tailor-made therapies: a global challenge

One of the fundamental and global challenges in oncology medicine is to increase efficiency in clinical development, which becomes especially critical with a looming burst of new cancer patients that demand personalized treatment. By 2040, an estimated 30 million new cancer cases per year are forecasted to occur worldwide, up from 19 million in 2021, according to the World Cancer Observatory (GLOBOCAN).

To address this, we bring our years of experience in using AI to develop predictive and prognostic models capable of improving patient stratification and contextualizing the potential benefit of new therapies at the patient, dose and/or treatment level.

  • Personalize diagnostics with AI

    By means of AI-based personalization, care plans can be devised according to particular patient requirements. AI can comb through vast datasets and find patterns and nuanced discoveries that may elude clinicians. This data-driven approach improves the decision-making process, enabling healthcare personnel to arrive at better-informed and accurate treatment decisions, which can lead to improved patient outcomes.

  • How AI helps us monitoring patients

    AI in patient monitoring enables continuous tracking of their evolution and response to treatment, providing real-time information about their health. This capability supports adaptive care, allowing healthcare professionals to adjust treatment plans on the fly based on updated patient data, ensuring more responsive and personalized care throughout the treatment process.

The potential of precision medicine

Precision medicine offers a new model of care that identifies specific treatments to each patient, moving away from the traditional trial-and-error methods that have long dominated healthcare. This approach tailors treatment to the individual rather than using a blanket strategy. By having a targeted approach, there is a higher chance that therapies will be effective, while reducing the risk of using treatments that could fail and cause unwanted side effects or disrupt care.

Unlike treating the average patient with standard interventions, precision medicine shifts the focus to individual patients, reducing the likelihood of mistakes and promoting more accurate, pattern-based diagnostic and therapeutic strategies. It enables healthcare providers to predict how a patient will respond to a treatment, allowing for faster, more effective care and ultimately better outcomes. As precision medicine continues to evolve, it drives us toward a future where data-driven diagnostics offer timely, accurate, effective, and safer treatment solutions for patients everywhere.

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