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Sponsored • Disease management

Multiplex Testing: A Solution to Manage Surge in Respiratory Illnesses as Concerns over “Multi-demic” Rise

Eunsin Bae, M.D. specializes in laboratory medicine and leads the Institute of Clinical Research at Seegene Inc. Her research focuses on microbiology, molecular biology, and hematology. Dr. Bae is currently working toward implementing a global clinical study and establishing an international network of clinical investigations.

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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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Article • Early detection approach

Multi-cancer blood tests could shake up screening

New tests can identify over 50 types of cancer and boost detection of traditionally elusive cancers from tumour DNA in blood, researchers showed at the ESMO congress in September. These multi-cancer early detection (MCED) tests in development can spot common cancer signals and predict where the signal comes from in the body, results from a prospective investigation suggest.

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Lab-on-a-chip

Multiplexed lab-on-a-chip bioassays for testing antibodies against SARS-CoV 2 and its variants in multiple individuals

The coronavirus pandemic caused by SARS-CoV-2 and its variants is still a major public safety issue worldwide. The “alpha” variant B.1.1.7, the “gamma” variant P.1, the “beta” variant B.1.351, and the “delta” variant B.1.617 are of particular concern because of their high prevalence. Large-scale vaccination and sensitive detection are vital for preventing the spread of Covid-19.

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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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