SciPod

SciPod

By SciPodScience
Download on the App Store

SciPod episodes

  • Innovations in Functional Brain Imaging to Improve Neurosurgery - Dr Jun Hua, Johns Hopkins University

    Dr Jun Hua, Associate Professor at the F. M. Kirby Research Center for Functional Brain Imaging at the Kennedy Krieger Institute and Johns Hopkins University, USA, leads a team focused on developing novel magnetic resonance imaging (MRI) technologies for imaging the structure and function of the brain. Recently, they have been pioneering the development of new MRI techniques that can be used to improve pre-surgical planning for neurological patients and optimise patient outcomes.

    14 min
  • How Memories Are Made And Lost In The Brain - Professor Don Kulasiri, Lincoln University

    Our brain forms long-term memories and stores information through synaptic plasticity, the ability of the connections between neurons to be strengthened or weakened over time. However, the exact methods through which synaptic plasticity is achieved by the brain remain largely unknown in the scientific community. Professor Don Kulasiri at Lincoln University, New Zealand, is using a mathematical modelling approach to shed light into this process. His findings are providing molecular insights into how memories can be strengthened or lost.

    15 min
  • Profiting from Disinformation: The Case of Genetically Modified Organisms

    As people are now spending a substantial amount of time online, traditional businesses and other vendors try to attract new customers by gaining traction on social media platforms, capturing the attention of users in a variety of ways. This is often achieved by disseminating compelling information, which is not always true or reliable. In a recent study, Dr Camille Ryan and her colleagues at Bayer Crop Science have taken a closer look at the monetisation of disinformation, focusing on the specific case of genetically modified organisms (aka GMOs).

    10 min
  • Targeting the Brain in Type 2 Diabetes: Therapeutics to Induce Remission - Dr Jarrad Scarlett, University of Washington

    Type 2 diabetes (T2D) is among the most impactful and costly biomedical challenges confronting society. Current treatment regimens for T2D rely upon daily drug dosing and frequent glucose monitoring to normalise blood glucose levels. However, these medications can only delay disease progression and frequently have undesired side effects including hypoglycaemia and weight gain. Growing evidence supports a key role for the brain in glucose homeostasis and diabetes pathogenesis. Dr Jarrad Scarlett and his research team at the University of Washington and Seattle Children’s Hospital are working on the development of novel pharmaceuticals to target the brain to induce sustained remission of T2D.

    12 min
  • Identifying Ways to Make the BEST Program Even Better - Professor Stephanie Wengert Watts, Michigan State University

    Broadening Experiences in Scientific Training – or ‘BEST’ – is a program that aims to help biomedical students to explore and pursue expanded career options beyond traditional academic positions. While the program has been in place for a few years, the views of participating faculty members on the value of BEST’s career development initiatives had never been collected. To fill this gap, Dr Stephanie Watts at Michigan State University and her collaborators asked faculty members at seven institutions participating in the BEST program to answer surveys and share their perceptions. By shedding light on the program’s strengths and weaknesses, the team’s findings will help to improve BEST initiatives, greatly benefitting the participating students.

    9 min
  • From Machine Learning To Machine Understanding - Dr Yan M Yufik

    Despite dramatic advances in neuroscience and biology in the 20th and 21st centuries, our understanding of the brain remains very limited. Dr Yan M Yufik, Head at Virtual Structures Research Inc, USA, is a physicist and cognitive scientist who has spent over 20 years combining experimental findings and theoretical concepts in domains as diverse as neuroscience and thermodynamics to form a theory of the brain. His focus has been on elucidating the mechanisms underlying human understanding and applying the results to the design of machines that can not only learn but understand what they are learning.

    17 min
  • ADBCAP A Human Approach To Improving Biosecurity

    Foreign animal disease outbreaks in livestock systems have far-reaching economic, trade and food security implications. Biosecurity strategies can enhance the resilience of livestock production; however, understanding the behaviors of people involved in agriculture is critical – and more challenging. In a new approach, an innovative US-wide project is integrating social science, human decision making, economic and animal health perspectives to target disease prevention.

    32 min
  • Improving Mentoring Relationships in Science: Mentors Need Mentors - Dr Christine Pfund

    Dr Christine Pfund is a researcher at the University of Wisconsin-Madison, USA. With a strong network of colleagues and collaborators, her work focuses on developing, implementing, documenting, and studying interventions to optimise research mentoring relationships across science, technology, engineering, mathematics, and medicine. Read on to discover how the success of these initiatives has resulted in the development of a national network of mentors in the USA.

    13 min
  • Artificial Intelligence Predicts The Worsening Of Chronic Kidney Disease - Professor Eiichiro Kanda, Kawasaki Medical School

    Our kidneys are primarily responsible for filtering waste out of the body and into urine. However, with aging, kidney dysfunction begins to develop. Although no symptoms appear for years, this dysfunction can eventually progress to severe kidney failure. If caught early, the adverse outcomes of kidney dysfunction can be prevented. But unfortunately, the detection and management of kidney disease remain far from optimal. Professor Eiichiro Kanda of the Kawasaki Medical School has established a new model based on statistics and artificial intelligence to predict the risk factors and likelihood of kidney disease progression.

    9 min
  • A Deep Learning Model to Predict Student Dropout

    Identifying students who are at risk of withdrawing from higher education is of key importance, as it allows educators to devise and implement intervention strategies that could support students in completing their studies. With this in mind, Dr Naif Radi Aljohani and his colleagues at King Abdulaziz University in Saudi Arabia have recently devised a technique that could help to predict early dropout from university courses, by analysing data related to student engagement on online learning platforms.

    9 min

About SciPod

From the publisher's feed

Listen to the story behind the science.