Dr Michael Schutz | Musical Alarms: Improving Medical Environments by Studying Sound

Dr Michael Schutz | Musical Alarms: Improving Medical Environments by Studying Sound

Medical devices in hospitals use auditory interfaces to keep doctors and nurses updated while keeping their eyes focused on patients. These auditory alarms are crucial for complex procedures, such as placing a breathing tube. Unfortunately, the specific sounds used in current systems are highly problematic. The lack of sophistication in these tones render them annoying and distracting, harming communication amongst medical staff and posing risks for patient care. An FDA survey has revealed hundreds of deaths annually resulting from poorly designed alarms! Although there are many ways to improve their use, one solution has received little attention thus far – improving the quality of the sounds themselves.

The 2022 Prince Mahidol Award Conference: Building the World We Want

The 2022 Prince Mahidol Award Conference: Building the World We Want

Humanity is facing many challenges, ranging from COVID-19 to climate change, and from natural resource depletion to social inequity. The Prince Mahidol Award Conference is an annual event held in Bangkok, where leaders and experts meet to discuss global challenges. This year, the theme was ‘The World We Want: Actions Towards a Sustainable, Fairer and Healthier Society’.

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.

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.

Controlling the Worldwide chaotic Spreading of COVID-19 Through Vaccinations | Dr Aldo Bonasera

Controlling the Worldwide chaotic Spreading of COVID-19 Through Vaccinations | Dr Aldo Bonasera

Amid the global COVID-19 pandemic, we face challenges that require innovative and strategic responding. Dr Aldo Bonasera at Texas A&M University in the USA and Laboratori Nazionali del Sud, Istituto Nazionale di Fisica Nucleare in Italy, and Dr Hua Zheng at the School of Physics and Information Technology, Shaanxi Normal University in China, have taken a mathematical approach to compare the current COVID-19 pandemic with the Spanish Flu. Their findings have led to important recommendations for managing the current pandemic through vaccination programmes.