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Discovering Unmapped Molecular Targets for Novel Covalent Drugs | Dr Mikail Abbasov

Discovering Unmapped Molecular Targets for Novel Covalent Drugs | Dr Mikail Abbasov

Covalent drugs are molecules that irreversibly bind to specific, targeted sites in the body. They work to inhibit the disease-causing functions of certain proteins by preventing them from interacting with other substances. This is a highly promising field of drug development and the focus of Dr Mikail Abbasov from Cornell University, New York, USA. By creating and utilising new technologies and through collaborative research, Dr Abbasov has mapped novel molecular targets for potential covalent drugs to treat ailments ranging from cancer to autoimmune diseases.

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Understanding Why Obesity is a Risk Factor for Cancer | Dr Aliccia Bollig-Fischer

Understanding Why Obesity is a Risk Factor for Cancer | Dr Aliccia Bollig-Fischer

Cancer can be caused by genetic mutations or epigenetic alterations, which are changes to the way DNA is processed, rather than to the DNA itself. These changes can be brought about by obesity, and more specifically, oxidative stress and consequent reactive oxygen species. However, the molecular mechanisms by which this occurs are not well understood. Dr Aliccia Bollig-Fischer from Wayne State University School of Medicine in Michigan is studying these processes and paving the way for the development of novel cancer therapeutics.

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Discovery of Neurotrophic Factor-α1 Reveals New Treatment Strategies for Stress-induced Neurodegenerative Diseases and Depression | Dr Y. Peng Loh

Discovery of Neurotrophic Factor-α1 Reveals New Treatment Strategies for Stress-induced Neurodegenerative Diseases and Depression | Dr Y. Peng Loh

Stress produces numerous negative effects on the human body. Lying deep within the brain, one particularly sensitive area is the hippocampus, where chronic exposure to stress hormones can lead to the degeneration and death of neurons. Thankfully, the brain holds defence mechanisms that block some of these negative effects. Deciphering these mechanisms with the aim of better treating neurodegenerative diseases and depression is Dr Y. Peng Loh from the Eunice Kennedy Shriver National Institute of Child Health and Human Development in the USA.

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Obsessive-compulsive Disorder: The Genetic Links Between Traits and Clinical Diagnosis

Obsessive-compulsive Disorder: The Genetic Links Between Traits and Clinical Diagnosis

Although obsessive-compulsive disorder (OCD) is a commonly occurring psychiatric disorder, the underlying genetic basis has until recently, remained poorly defined. Drs Christie Burton, Jennifer Crosbie, and Russell Schachar at The Hospital for Sick Children (SickKids) in Toronto, Canada, and Dr. Paul Arnold at the University of Calgary and The Mathison Centre for Mental Health Research & Education and their extensive network of collaborators conducted a genome-wide association study to address this key gap. These researchers are the first to empirically demonstrate that OCD and obsessive-compulsive traits have a shared genetic risk, and start to pinpoint the genetic basis of this.

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Teaching Algorithms to Caption Ultrasound Images | Dr Mohammad Alsharid

Teaching Algorithms to Caption Ultrasound Images | Dr Mohammad Alsharid

Medical professionals require years of training before they can describe ultrasound images of developing foetuses. Dr Mohammad Alsharid and colleagues from the Institute of Biomedical Engineering and Nuffield Department of Women’s and Reproductive Health at the University of Oxford suggest that this task could one day be carried out by machine learning algorithms. In their latest study, the team showed how neural networks, trained by the expert knowledge of real sonographers, could convert subtle features within the images into accurate, readable captions.

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What Makes an Effective Grants Peer Reviewer? | Dr Tiffani Conner

What Makes an Effective Grants Peer Reviewer? | Dr Tiffani Conner

Peer review is a key component in the determination of funding allocation, especially within the science and technology sectors. However, the literature evaluating this process is sparse, often focusing on outcomes rather than the methodology. Dr Tiffani Conner and her colleagues from Oak Ridge Associated Universities in the USA have researched which specific skills are most desirable in a reviewer and how these can be enhanced, whilst also evaluating the impact of review format.

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Revolutionising Understanding of the Myometrium to Prevent Preterm Birth

Revolutionising Understanding of the Myometrium to Prevent Preterm Birth

Preterm birth refers to the birth of a baby before 37 weeks of completed gestation. An estimated 15 million babies are born prematurely each year and sadly, this prevalence is rising. Approximately 1 million die as a result of premature birth, and those who survive are at risk of lifelong disabilities. Dr Buxton and his team at the University of Nevada, Reno, are studying the role of the smooth muscle of the uterus to elucidate its role in preterm labour and birth.

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Dr Fatima Rehman – A New Biological Tool to Assess the Efficacy of Chemotherapy in Breast Cancer

Dr Fatima Rehman – A New Biological Tool to Assess the Efficacy of Chemotherapy in Breast Cancer

There is an urgent need for prognostic tools that can accurately predict the outcomes of patients undergoing treatment for breast cancer. Dr Fatima Rehman and her colleagues investigated the relationship between breast cancer prognosis and the secretion of a biological marker called Galectin-3 to drive forward the development of optimised treatment regimes. This work was conducted at Shaukat Khanum Memorial Cancer Hospital and Research Centre in Pakistan.

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Using Machine Learning to Predict Bacterial Growth According to the Media Components

Using Machine Learning to Predict Bacterial Growth According to the Media Components

Bacterial growth depends on the complex interactions of a multitude of chemical components. Microbiologists have long attempted to predict bacterial growth according to culture media components, and have employed a variety of mathematical and computational models to this end. Dr Bei-Wen Ying and her colleagues at the University of Tsukuba, Japan, successfully applied machine learning to understand the contribution of media culture components to bacterial growth. Their work makes a significant contribution to growth prediction and demonstrates that machine learning can be employed in the exploration of the complex dynamics that regulate living systems.

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Translational Imaging Innovations: Accelerating Ophthalmic Research Through an Integrated Online Platform

Translational Imaging Innovations: Accelerating Ophthalmic Research Through an Integrated Online Platform

Led by Dr. Eric Buckland, Translational Imaging Innovations, Inc. (TII) provides purpose-driven software systems that drive such ophthalmic research forward. The TII image management platform provides researchers with the tools to manage multifaceted imaging workflows and efficiently organize and analyse complex sets of images and data to accelerate the development of new diagnoses and treatments for eye diseases. By unleashing the power of the eye, TII aims to transform medicine.

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Establishing a Positive Control for CD4 Cells: A Vital Addition to the Research Toolkit

Establishing a Positive Control for CD4 Cells: A Vital Addition to the Research Toolkit

Measurement of CD4 T cell-mediated immunity requires functional tests to be conducted with viable peripheral blood mononuclear cells, PBMC. Recently, scientists at CTL successfully developed a positive control that not only verifies the functionality of CD4 T cells in PBMC, but also that the antigen-presenting cell compartment is unimpaired in the test sample as well.

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