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How Genetics Plays a Major Role In Diagnosis
How Genetics Plays a Major Role In Diagnosis

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When a patient visits a doctor with symptoms of unquenched thirst, extreme weight loss, slow-healing sores, and tingling in the feet or hands, the diagnosis begins with two very important questions. 
 
1. "Does anyone in your family have diabetes? Is it genetic? 
2. How does your lifestyle look?  
 
These questions help the doctor determine the root of diabetes. If the family history indicates a genetic predisposition, the focus shifts to understanding the inherited factors. If diabetes is not genetic, simple solutions like diet, exercise, and habits like reduction of alcohol, smoking, and sugar will fix it. This diagnostic flow guides the treatment plan customized for the patient's specific condition, whether genetic or lifestyle-driven 
 
Generative AI in Genomics: Coding the crux of life  
 
In the long-term partnership between Biology and Technology, one of the most brilliant curveballs is the introduction of Generative AI in Genomics. Life science and Technology are not oceans apart, as it is presumed to be, they go hand in hand. Both of these profoundly different streams have one thing in common: The dependency on data. This distinctive trait(Data dependency) alone acted as a catalyst in bringing AI into Genomics, which writes, designs, simulates, and changes the rules of life itself.  
 
In essence, Generative AI models are proudly rewriting the Genetic code of life itself.  
 
What is Genomics and why is it more important than ever?  
 
Genomics is the study of all of a person's genes, including interactions of those genes with each other and with the person's environment. It involves decoding DNA sequences, gene expression, mutations and inherited traits. It's impact extends beyond life science and healthcare, expanding to agriculture, climate science, and evolutionary biology. Genomics is crucial because it is the root solution to some of today's most pressing challenges. With the right analysis and decoding, it can change the rules of the world we live in.  
 
Why is AI Essential for Genomics 
 
Let's begin with the complexity of biological data. A single human genome consists of 3 billion base pairs; add to that layers of transcriptomic, proteomic, and metabolic data, and that's just the drop in the ocean of unstructured biological data. This is beyond the comprehension of even the most brilliant human mind. Analyzing, monitoring, and interpreting such data would take years, be highly prone to errors, and come at a huge cost.  
 
This is where generative AI models shine. They are trained to learn from a massive amount of data, the kind that genomics generates.  
 
The LLMs are trained not only to analyze the already existing data but to generate new genetic sequences based on learned patterns. In short, these models just don't analyze the data; they write it. All it needs is a desired function, and it can create synthetic gene sequences to accomplish the results. What takes researchers years to decode can now be done in a few days or hours at a much reasonable cost.  

Generative AI has the potential to allow biology to be engineerable as software or gadgets or bike mechanisms, to understand the functioning of genomes and the development of therapeutics.  

What is Molecular Generative Framework:  
 
At the crossroads where Generative AI and Life Sciences meet lies Generative and Synthetic Genomics. Scientists do not have to conduct experiments like they used to; using a molecular generative framework, they can simply explore genetic designs. This is what the scientists call Generative Design in Synthetic Biology.  
 
With the help of trained language models, they can now create a new genetic sequence that does a very specific function, like resisting a disease, or producing protein or breaking down plastic. Predominantly, Molecular Generative Framework is transforming biology from a trial and error process to a much more intelligent and result-oriented process, unlocking new possibilities in medicine, healthcare and beyond.  
 
What does this mean for the Future?  
 
This means the future of healthcare would be smarter, faster, wiser and mostly solution-oriented. Complex conditions like Cancer, Alzheimer's, Schizophrenia, Lupus, Rare Genetic Conditions, even Antimicrobial resistance might be decoded and cured. Diseases may even be prevented at the DNA level based on the genetic profiles.  
 
Even contumacious diseases like Parkinson's or HIV where specific kinds of neurons fail could be rewritten by controlling how genes are expressed in certain kinds of cells. That represents a huge leap for the human kind in fighting against life threatening diseases.  
 
The Future of Biology:  

“Evolution maybe have never wanted to build a really great driver for an Alzheimer’s drug, but that doesn’t mean it can’t exist.” 

Steven Reilly, PhD 

The holy culmination of Generative AI and Genomics is redefining life itself. As Generative AI models and Molecular Generative Frameworks continue to evolve, we are approaching a future where diseases can be predicted before they occur, treatments can be customized at genetic level, complex conditions could be diagnosed and treated precisely. With this evolution in biology, we are challenging evolution, reshaping the understanding of life. The impact extends beyond healthcare transforming everything we know about life.  


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