All Posts

Introduction Artificial Intelligence is no longer a futuristic concept in healthcare - it is the silent engine behind modern diagnostics, drug discovery, and personalized treatment plans. We are told that AI is objective, data-driven, and immune to the "gut feelings" or implicit biases that plague human doctors, but this is not true. Algorithms are trained on historical data, and if that data is skewed, the AI doesn’t just reflect our past mistakes, it automates them. For wom

Personal Connection In the past 20 years, woman's sports and female athletics has skyrocketed - the industry has only been growing, and all across the world more and more girls get to play sports! This is truly amazing and is a testament to female empowerment, as now young girls like me get to watch our athletic role models on TV. I've played club soccer since I was 5 years old, which allowed me to experience the competitive but exciting environment that girls youth soccer ha

Subject Article: Preserving clinical skills in the age of AI assistance As artificial intelligence becomes more deeply embedded in clinical practice, the medical world faces an important question: how do we maintain skills when machines can do so much for us? The article “Preserving clinical skills in the age of AI assistance” from the Lancet explores this concern, warning of the potential for de-skilling (a gradual loss of hands-on expertise) as AI begins to assist, and som

Subject Articles: 1) About Whole Genome Sequencing 2) Toward Same-Day Genome Sequencing in the Critical Care Setting Backstory June 26, 2000. That was the day that revolutionist Craig Venter alongside Francis Collins of the publicly funded Human Genome Project (HGP) co-announced the first fully decoded working draft of the human genome; this groundbreaking news was announced at a White House ceremony, presided by President Bill Clinton. Ventor's company, Celera Geomics, start

TL;DR Margaret Dayhoff, often called the mother of bioinformatics, was a pioneering scientist who used early computers to study protein sequences, laying the foundation for modern computational biology. Her work transformed how scientists analyze genetic data today. Her story inspires me because she proved that curiosity and innovation can rewrite the future of science, even when technology barely existed to support it. Why Margaret? Bioinformatics is a booming field with so