Search for: "cancer cells" - 250 articles found

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Article • Interdisciplinary diagnostics

Crossing the radiology-pathology boundary

In diagnostics, there used to be a hard divide between radiology and pathology, where methods were largely considered incompatible with one another. However, to pave the way for next-generation diagnosis, Professor Regina Beets-Tan urged both sides to come out from their trenches and appreciate the synergies the fields have to offer. In her presentation at the European Congress of Radiology (ECR)…

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Article • Imaging in characterisation and classification of tumour types

Taking a closer look at breast cancer

Breast cancer has no “one size fits all” therapy approach: subtypes differ significantly in malignancy, progression, and treatment response. Therefore, the more is known about the type of carcinoma in a patient, the better the outcome. At the annual scientific EUSOBI meeting in Valencia, Dr Ramona Woitek pointed out the potential of novel imaging techniques and computational image analysis…

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Article • Knowledge gaps in gender medicine

Covid-19 and sex: higher mortality of male patients

The Covid-19 pandemic has affected scientific research in numerous ways – for example by highlighting knowledge gaps in gender medicine. In many studies differences in morbidity and mortality between women and men surfaced incidentally. While the extent and causes of these differences remain largely unexplored, the preliminary insights confirm the need for further research.

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News • Based on image-based flow cytometry

Rapid test to predict severe Covid-19 infections

Researchers have developed a method for assessing the number and structure of aggregated blood platelets (or thrombocytes) that can potentially help quantify the risk of a severe Covid-19 infection. As a result, they have identified a predictive biomarker for the seriousness of a Covid-19 infection. This will allow physicians to adjust treatment at an early stage. The researchers used a method…

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Article • Need for diversity in training datasets

Artificial intelligence in healthcare: not always fair

Machine learning and AI are playing an increasingly important role in medicine and healthcare, and not just since ChatGPT. This is especially true in data-intensive specialties such as radiology, pathology or intensive care. The quality of diagnostics and decision-making via AI, however, does not only depend on a sophisticated algorithm but – crucially – on the quality of the training data.

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Article • Flow cytometry

Detecting and measuring nanoplastics in the blood stream

Plastics are a part of everyday life, and an increasingly concerning factor of global environmental pollution. They also have infiltrated our bodies as microparticles (MPs) and nanoparticles (NPs), found even in placentas supporting foetal life. And they are in our blood. Now, researchers in Spain have developed a new method to detect and measure nanoparticles in human peripheral blood that is…

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Article • Cancer patients at risk

Blood test detects risk of neurotoxicity from CAR T-cell therapy

Chimeric antigen receptor (CAR) T-cell therapy is an immunotherapy treatment that re-engineers a patient’s own T-cells to help them attack malignant tumour cells. It has been very effective in the treatment of blood cancers, including certain types of leukaemia and lymphoma. However, two serious side effects are common as a result of the treatment: cytokine release syndrome (CRS) and immune…

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Article • Progress, limitations, and opportunities

Precision oncology: incredible potential, but not a miracle cure

Unanswered questions are hampering clinicians in their efforts to get the best out of a precision medicine approach for their patients. Speaking at the Genomics and Precision Medicine Expo in London at the end of May, cancer educator Dr Elaine Vickers said the benefits of being matched to an investigational drug remain questionable for most people with advanced cancer.

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News • Promising reseach results

Using artificial DNA to kill cancer

Researchers at the University of Tokyo have used artificial DNA to target and kill cancer cells in a completely new way. The method showed promising results against various cancers in lab tests on mice.

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Article • Mid-treatment scans can reduce treatment sessions

De-escalating radiation therapy for oropharynx cancer with FDG-PET

Using fluorodeoxyglucose positron emission tomography (FDG-PET) imaging may give insights into possible dose reductions in ongoing radiation therapy of head and neck cancer. A promising study to explore this option was presented at the 2022 ASTRO/ASCO Multidisciplinary Head and Cancer Symposium held in Phoenix, Arizona.

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Article • AI-based personalized medical care

I³lung: EU launches lung cancer initiative

This summer, The European Commission launched I3lung, a new research initiative as a part of Horizon Europe, the EU’s research and innovation program. This research initiative aims to create a cutting-edge, decision-making tool to help clinicians and patients select the best lung cancer treatment based on each patient’s specific needs and circumstances.

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Article • Tissue-engineered glioblastoma model

3D brain tumour in a dish to personalize cancer treatment

It is the size of a common pencil eraser, but it could have a huge impact on the therapy of glioblastoma: Scientists in Virginia have developed a novel 3D tissue-engineered model of the brain tumour microenvironment, which can be used to assess how the glioma cell invades healthy tissue, proliferates, and reacts to chemotherapy drugs.

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Supervised learning approach

A new deep learning-based algorithm to predict relapse-free survival in papillary thyroid carcinoma

The tall cell variant (TCV) is an aggressive subtype of papillary thyroid carcinoma (PTC). Sebastian Stenman, researcher from the Institute for Molecular Medicine, and the Department of Pathology at the University of Helsinki, Finland, is developing and training a deep learning algorithm using supervised learning to detect and quantify the proportion of tall cells in PTC.

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Article • Prediction for breast, ovarian, cervical, and endometrial carcinoma

New test detects four women’s cancers from cervical screening samples

What if a test analysing cervical cells from a gynaecological swab could be used to detect four different female cancers at an early stage and also predict cancer risk over a healthy woman's lifetime? Researchers at the EUTOPS Institute in Innsbruck, Austria, are developing tests to do just that for breast, ovarian, cervical, and endometrial cancer detection.

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Article • AI provides prognostic information

Next-generation deep learning models predict cancer survival

Deaths from cancer are currently estimated at 10 million each year worldwide. Conventional cancer staging systems aim to categorize patients into different groups with distinct outcomes. ‘However, even within a specific stage, there is often substantial variation in patient outcomes,’ Markus Plass, academic researcher from the Medical University of Graz, Austria, explained to Healthcare in…

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News • Alveolar rhabdomyosarcoma

Promising new treatment for deadly pediatric tumor

Alveolar rhabdomyosarcoma is a rare pediatric tumor. For more than 40 years there has not been any new development regarding treatment. Research led by Prof. Dr. Anton Henssen at Charité University Berlin has now identified a new therapeutic option, using a drug that is currently under investigation for other types of cancer.

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