Siemens Healthineers Expands Production Site in Rudolstadt, Germany and Creates New Jobs

Siemens HealthineersSiemens Healthineers is expanding its site in Rudolstadt, Germany. By mid 2024, a new manufacturing building will be built on the site. The new manufacturing plant will produce electron accelerators that will be used as radiation sources for Varian's cancer therapy devices. Varian has been a Siemens Healthineers company since 2021. The hall will also expand the production line for so-called liquid metal plain bearings, a core technology of high-end computed tomography and angiography systems. The expansion of the site is expected to create around 50 new jobs by 2027. Siemens Healthineers is investing around €25 million in the 2100-square-meter manufacturing facility. The new building is to be built in a CO2-neutral manner and operated as sustainably as possible. "The expansion in Rudolstadt is a strong commitment to the location and the entire region. We want to grow here, create jobs and remain an attractive employer," says Peter Schardt, Chief Technology Officer of Siemens Healthineers and responsible for Rudolstadt as a technology location.

In order to meet the growing demand for Varian's radiotherapy equipment, the company needs a second manufacturing site for core components of its radiotherapy devices in addition to Palo Alto in the USA. In Rudolstadt, Siemens Healthineers has the necessary knowledge and already manufactures such components. The electron accelerators from Rudolstadt are to be used for the Halcyon and TrueBeam radiotherapy systems, some of which are manufactured at the Kemnath site in Germany.

Radiotherapy with so-called linear accelerators is one of the most important methods of modern cancer therapy and is used in more than half of all cancer treatments today. Linear accelerators are used both in the outpatient sector and in hospitals for the targeted treatment of cancer.

Today, around 270 employees develop and produce vacuum components, X-ray tubes and components for medical and industrial use at the Rudolstadt plant. The components are used, for example, in computed tomography, angiography systems or mammography devices. The site is also the manufacturing center for industrial electron linear accelerator systems, which are used, among others, in non-destructive material testing and scanning to check contents of shipping containers, trucks and train cars. The plant in Rudolstadt was founded in 1919.

About Siemens Healthineers

Siemens Healthineers AG (listed in Frankfurt, Germany: SHL) pioneers breakthroughs in healthcare. For everyone. Everywhere. As a leading medical technology company headquartered in Erlangen, Germany, Siemens Healthineers and its regional companies are continuously developing their product and service portfolio, with AI-supported applications and digital offerings that play an increasingly important role in the next generation of medical technology. These new applications will enhance the company’s foundation in in-vitro diagnostics, image-guided therapy, in-vivo diagnostics, and innovative cancer care. Siemens Healthineers also provides a range of services and solutions to enhance healthcare providers’ ability to provide high-quality, efficient care. In fiscal 2022, which ended on September 30, 2022, Siemens Healthineers, which has approximately 69,500 employees worldwide, generated revenue of around €21.7 billion and adjusted EBIT of almost €3.7 billion.

Most Popular Now

Stepping Hill Hospital Announced as SPAR…

Stepping Hill Hospital, part of Stockport NHS Foundation Trust, has replaced its bedside units with state-of-the art devices running a full range of information, engagement, communications and productivity apps, to...

DMEA 2025: Digital Health Worldwide in B…

8 - 10 April 2025, Berlin, Germany. From the AI Act, to the potential of the European Health Data Space, to the power of patient data in Scandinavia - DMEA 2025...

Is AI in Medicine Playing Fair?

As artificial intelligence (AI) rapidly integrates into health care, a new study by researchers at the Icahn School of Medicine at Mount Sinai reveals that all generative AI models may...

New System for the Early Detection of Au…

A team from the Human-Tech Institute-Universitat Politècnica de València has developed a new system for the early detection of Autism Spectrum Disorder (ASD) using virtual reality and artificial intelligence. The...

Generative AI's Diagnostic Capabili…

The use of generative AI for diagnostics has attracted attention in the medical field and many research papers have been published on this topic. However, because the evaluation criteria were...

Diagnoses and Treatment Recommendations …

A new study led by Prof. Dan Zeltzer, a digital health expert from the Berglas School of Economics at Tel Aviv University, compared the quality of diagnostic and treatment recommendations...

AI Tool can Track Effectiveness of Multi…

A new artificial intelligence (AI) tool that can help interpret and assess how well treatments are working for patients with multiple sclerosis (MS) has been developed by UCL researchers. AI uses...

Surrey and Sussex Healthcare NHS Trust g…

Surrey and Sussex Healthcare NHS Trust has marked an important milestone in connecting busy radiologists across large parts of South East England, following the successful go live of Sectra's enterprise...

Dr Jason Broch Joins the Highland Market…

The Highland Marketing advisory board has welcomed a new member - Dr Jason Broch, a GP and director with a strong track record in the NHS and IT-enabled transformation. Dr Broch...

DMEA 2025 Ends with Record Attendance an…

8 - 10 April 2025, Berlin, Germany. DMEA 2025 came to a successful close with record attendance and an impressive program. 20,500 participants attended Europe's leading digital health event over the...

AI-Driven Smart Devices to Transform Hea…

AI-powered, internet-connected medical devices have the potential to revolutionise healthcare by enabling early disease detection, real-time patient monitoring, and personalised treatments, a new study suggests. They are already saving lives...

Multi-Resistance in Bacteria Predicted b…

An AI model trained on large amounts of genetic data can predict whether bacteria will become antibiotic-resistant. The new study shows that antibiotic resistance is more easily transmitted between genetically...