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Tag: oncology

Developing computationally derived imaging biomarkers for maximum clinical impact

Professor Anant Madabhushi is a world-recognised, award-winning leader in computerized imaging research and translational applications, with over 160 peer-reviewed journal publications and close to 100 patents issued or pending. He is a keynote speaker at the 6th Digital Pathology & AI Congress: USA. He explains here why having patents is not enough…

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Developing Deep Learning Models for Pathology Analysis

Ahead of the 6th Digital Pathology & AI Congress: USA, Dr Saeed Hassanpour introduces us to the subject of his presentation: the opportunities and challenges in developing deep learning based tools for histology.

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Developing successful treatments for HCC and NASH

Hepatocellular carcinoma (HCC) is the fifth most prevalent cancer and the second most common cause of cancer deaths worldwide.[1] There is not currently a successful therapy to treat HCC in advanced stages.[2] NASH is a primary risk factor for liver cancer.

Devanand Sarkar and his team have uncovered the molecular mechanisms leading to NASH and HCC, shedding light on the connections between obesity and cancer. He is leveraging this knowledge to develop targeted treatments for both NASH and advanced HCC. We asked him to give us a brief insight into his work ahead of his presentation at the 3rd Global NASH Congress, 2020.

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Taking biomarker research to a new level

Ahead of the 6th Digital Pathology and AI Congress: Europe in December, we are revisiting Professor Inti Zlobec’s research, presented at last year’s Congress, which is opening a whole field of digital pathology research. Zlobec’s research applies the latest digital pathology technology to produce high-quality tissue microarrays for biomarker analysis.

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Connecting Cancer Biology to Clinical Oncology: Still a World to Win

Our understanding of the aberrant biological pathways (oncogenic pathways) that are involved in the formation and progression of cancers has increased with huge leaps in the last decades of cancer research. The ever-increasing knowledge was and still is accompanied by the development of increasing numbers of precision drugs, tailored to neutralize these aberrations.

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Dynamic Microenvironments: Finding the right cancer therapy

With so many promising cancer therapies emerging from research labs, a key challenge for biomedical researchers is to develop tools that accurately predict treatment efficacy against a patient’s specific cancer, thereby avoiding subjecting the patient to a trial and error process to find the best drug.

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Upcoming Developments in Precision Medicine

Future of immunotherapies

Immunotherapies are on the fast growth trajectory which will be moderated based on responder groups, toxicity and efficacy results and high costs and increasingly used in combination therapies. The overall immune oncology checkpoint inhibitor market was over $2.0 billion and is set to grow to $14 billion by 2018.

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Cross-Cultural Research into Microbiome Therapeutics for Cancer

While microbiome therapeutics to support healthy gut function have garnered the lion’s share of attention, exciting approaches to oncology and anti-inflammatory therapeutics presage a new golden age for drug development, akin to the early commercialisation of chemically synthesised antibiotics from soil biofilms in the mid-20th century.

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