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    Oncology

    Toward a world without fear of cancer

    In 2050, more than 35 million new cancer patients are predicted. This is a 77 percent increase from the estimated 20 million new patients in 2022 [1]. The examples below demonstrate how we advance cancer care — from early detection to treatment and survivorship — by enabling cutting-edge treatment options, fostering operational excellence, and expanding patient reach.
    Published on May 12, 2026

    Enhancing the patient experience with adaptive radiation therapy

    Radiation therapy has come a long way — and patients feel the difference.

    Around half of all tumors will need radiation therapy [2], whether to treat, control, or ease the impact of the disease on patients. 

    Today, adaptive radiation therapy allows care teams to adjust dose delivery and radiation fields in real time to account for patient movement, organ shifts, and tumor change over the course of treatment.


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    Learn about day-to-day adaptation of the treatment plan.

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    Enabling personalized care through theranostics

    Theranostics combines diagnostics and treatment in one personalized approach.

    Theranostics brings imaging and therapy together to help clinicians target the tumor and protect the patient. 

    By combining molecular imaging with targeted radionuclide therapy, this approach enables truly personalized decision making across the care pathway for certain cancers. 

    Theranostics has the potential to turn life-threatening illness into a manageable, chronic condition, offering patients a new path forward.

    Interested in learning more?

    Explore how theranostics is reshaping cancer treatment.

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    Streamlining lung cancer screening with AI

    More countries are moving toward risk-based lung cancer screening programs.

    The ongoing implementation of lung cancer screening programs increases radiologist’s workloads in face of limited resources. 

    Artificial intelligence can support more efficient workflows by reducing operational burden and repetitive tasks. It enables radiologists to focus on complex tasks and ultimately improve overall patient care.


    Want to dive deeper?

    Explore our portfolio for lung cancer — beyond screening.

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    Partnerships make innovation accessible

    Bringing cancer care closer to home makes a big difference for patients in low- and middle-income countries.

    No single organization alone can make cancer care accessible anywhere. 

    Partnering with governments, multilateral organizations, and NGOs allows us to address the needs of the most vulnerable communities. 

    Together, we can make a difference in the lives of people everywhere.

    Want to know more?

    Here’s how we join forces to make care more accessible.

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    1. [1] WHO, Global cancer burden growing, amidst mounting need for services (Press Release, Feb 1, 2024) [cited Apr 29 2026]. Available from https://www.who.int/news/item/01-02-2024-global-cancer-burden-growing--amidst-mounting-need-for-services
      [2] Barcellini A, Dal Mas F, Paoloni P, Loap P, Cobianchi L, Locati L, et al. Please mind the gap — about equity and access to care in oncology. ESMO Open [Internet]. 2021;6(6):100335. [Cited Apr 14 2026]. Available from: http://dx.doi.org/10.1016/j.esmoop.2021.100335
      [3] National Lung Screening Trial Research Team. Reduced lung-cancer mortality with low-dose computed tomographic screening. NEJM [Internet]. 2011;365(5):395–409. [cited Apr 8 2026]. Available from: http://dx.doi.org/10.1056/NEJMoa1102873
      [4] Assam Cancer Care Foundation. Northeast Oncology Summit (NEOS 2023). [Cited Apr 23 2026]. Available from: https://www.assamcancercarefoundation.org/media/news-and-events/northeast-oncology-summit-2023.html

    2. The products/features mentioned herein are not commercially available in all countries. Their future availability cannot be guaranteed.

      The statements by customers of Siemens Healthineers described herein are based on results that were achieved in the customer's unique setting. Because there is no “typical” hospital or laboratory and many variables exist (e.g., hospital size, samples mix, case mix, level of IT and/or automation adoption) there can be no guarantee that other customers will achieve the same results.