With every year of scientific pursuit and research, it seems that we discover an increasing number of hazardous materials and potentially lethal illnesses linked to them. Take, for instance, microplastics—a relatively new discovery in health science that has been linked to a variety of developing ailments. While this science is progressing, it often leaves longer-known issues by the wayside. One great example is asbestos.

Why our brains are wired to be wrong, even when we're trying to be right. We like to think of scientists as super-rational beings who follow evidence wherever it leads, immune to the mental shortcuts and biases that trip up the rest of us.

If you had told me a few years ago that I’d go from pouring concrete to cleaning datasets, I probably would’ve laughed. I started out as a Civil Engineering student, focused on building roads, designing structures, and dreaming of real-world infrastructure projects. It was a solid, practical field — one that taught me discipline, logic, and how to break down big problems into manageable parts. But somewhere along the way, I discovered something unexpected — the power of data. Today, I’m pursuing a Master’s in Applied Data Science in the UK, and I’ve found a new kind of passion: transforming raw data into insights that can drive decisions, tell stories, and make a difference. This post is about that journey the shift, the struggles, the small wins and the lessons I’ve learned along the way.

Conservationists and technologists are looking into new, integrated ways to preserve biodiversity in the face of rapidly increasing climate change, habitat loss, and species extinction. The combination of Artificial Intelligence (AI) and Digital Twin (DT) technology for real-time ecosystem monitoring, prediction, and preservation is one of the most exciting new areas. In addition to changing our understanding of natural environments, this intersection is also changing how we manage, restore, and safeguard them.

Zoonotic pathogens are infectious agents, including viruses, bacteria, fungi, and parasites, that are transmitted from animals to humans. Zoonoses were reported to be responsible for over 200 types of diseases impacting human health, as reported by the World Health Organization (WHO), making them a major global health threat. Major outbreaks originate from animal hosts such as COVID-19, Ebola, the Nipah virus, and avian influenza (H5N1), which highlights how interconnected human and animal health truly are. Zoonotic pathogens are becoming increasingly threatening. Many factors bring humans and animals into increasingly close contact and raise the risks. Climate change, urbanization, global travel, and the destruction of wildlife habitats are the main ones. Without better early detection and intervention strategies, the next international crisis could already be silently brewing in a remote forest, farm, or market, waiting for the right moment to erupt.

As you might have noticed, bioinformatics is a vast field. However, there is one common analysis which you can encounter quite frequently and can help you get started: the raw sequencing data analysis. As all these steps can be confusing sometimes, I propose a generic walkthrough in order to give you a few basics to start your project.

Grabbing and holding people’s attention in the today’s digital world, where they are continuously scrolling, tapping, and swiping through content, is more difficult than ever

If prehistoric times were called Stone age based on humanity’s expertise over stone tools, then the modern times should unarguably be called the Cybersecurity Age–an era where technology defines every prospect of humanity, from communication to consciousness itself. In this exceptional age, Derk Mulder and Andre Keizer at Neuromodulation Technologies have pushed the boundaries of neuroscience and engineering, creating the Lucid Dreamer Device a revolutionary tool that bridges the gap between the waking mind and the dream world.

In today’s technocrat world, humanity’s ways of operating and interacting with technology are rapidly evolving. Wearable gadgets like Omi are trailblazers for humanity to a new era of a thoughts-driven interconnected global cyber-society.

Since time immemorial humans have been using plants to treat various ailments. From using aloe vera on sunburns to eating ginger for stomach upset, there is seemingly no end to what problems plants have an answer for. Despite the almost infinite chemical compounds that plants have to offer, there is simply not enough time to research them all.

Viruses are the leading cause of infectious disease and as the recent COVID-19 pandemic exemplified, viruses can be a major threat to our society by overwhelming our health care systems, leading to a high number of fatalities, economic disruptions and a general impairment of our everyday life.

Computational science is rapidly becoming one of the most transformative disciplines of the 21st century, driving progress in a wide array of fields. From climate modeling to genomics, and artificial intelligence to quantum computing, computational methods are reshaping the way scientists tackle complex problems. As the demand for data-driven solutions continues to grow, the global advancement of computational science promises to unlock unprecedented opportunities for research, innovation, and collaboration.

We are thrilled to announce the official launch of Biotational – your hub for open-access computational science! Whether you're a...

At Biotational, we empower researchers, students, and professionals by providing a platform to share their work and contribute to the...