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Top 5 Data Science Projects for Biology Students

Top 5 Data Science Projects for Biology Students 1.Personalized Medicine Using Genomic Data 2.Disease Prediction Using Medical Data 3.Drug Discovery and Development 4.Microbiome Analysis 5.Cancer Prediction Using Histopathology Images Biology and data science are  intersecting, creating opportunities for groundbreaking research. Whether you’re a student looking to apply programming skills in biology or aiming for a

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He Jiankui and the World’s First CRISPR-Cas9 Gene-Edited Babies: A Scientific Breakthrough or Ethical Catastrophe?

In 2018, the scientific community was shaken by the shocking revelation that a Chinese scientist,He Jiankui, had successfully created the first gene-edited babies using CRISPR technology. This pioneering yet highly contentious experiment led to the birth of twin girls, Lulu and Nana, who were genetically altered to make them resistant to HIV. While some regarded

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AI and Proteomics Unite: UK Biobank’s Ambitious Project to Decode Disease Mechanisms”

In a groundbreaking move set to reshape modern medicine, the UK Biobank, in partnership with 14 leading pharmaceutical companies, has launched an ambitious AI-driven proteomics initiative that could transform how we understand and treat diseases. By harnessing the power of advanced computing and the world’s largest genetic research database, scientists are now set to analyze

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Understanding Genes and Alleles: The Building Blocks of Inheritance

What Are Genes? Consider  your body as a huge instruction manual. This manual instructs your body how to grow, develop, and function. These instructions are written in your DNA, and each specific set of instructions for a particular task is called a gene. A few things that genes determine are the color of your eyes,

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Can AlphaFold Revolutionize Personalized Medicine and Genetic Counseling?

What is alphafold AlphaFold is a computer program based on artificial intelligence (AI) created by DeepMind that can predict the three-dimensional structure of proteins from their amino acid sequence. This technology solves one of the most difficult issues in biology the so-called “protein-folding problem” which is to know how a linear chain of amino acids

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