This AI in Biotech News Changes the Definition of Biology Itself
The biggest disruption of the last 200 years, even bigger than the coronavirus pandemic
Dear BioTecNika members
Today, I am writing to be very honest about the early signals that AI is not just entering biotech, but that AI companies are buying “AI in biotech” companies. At the same time, massive layoffs are happening in the IT industry (Oracle laid off 30,000 Employees), and the IT engineers are moving towards biotech.
The greatest disruption is here.
If you do not learn AI and ML in biology, drug discovery, or chemistry, you are not just at risk of not getting your first job. The risk is that even if you are in a job, AI is going to replace many of you and us. If we do not take charge and learn AI, our entire careers can be devastated.
AI ML is Here Already!
But the time has come to stop fearing AI; it’s time to learn AI and Automation in Biology. AI is not here to replace us, but someone who knows AI better than we us will definitely replace us, because companies are moving towards an AI world where we no longer just make decisions based on information. We create new drugs; we create new ways of doing things in biology using AI and ML.
Data in Biology is the next Big Opportunity – Anthropic Knows it
As you all know, there is a vast amount of data in genomics, drug discovery, and disease biology where AI has already entered. The latest news, where Anthropic has acquired a biotech AI company – latest AI in Biotech News , further underlines and signifies how AI is entering the biotech world.
The time has come to learn AI. In this short and crisp email, I just want to highlight that we are starting an AI-ML in Biology and an AI-ML in Drug Discovery course this month. If you are interested, here is a 30% discount valid only today.
Use Coupon Code: AI30
Yes, I want to build AI models for Drug Discovery
Yes, I want to apply AI to Biology and Genomics
Yes, I want to master AI in Chemistry
This is the biggest disruption of the last 200 years, even bigger than the coronavirus pandemic. While it is true that the coronavirus COVID-19 pandemic did revolutionize biology, the way AI is accelerating biology is no longer just a revolution or a disruption. This is a new definition, a new type of biology that is emerging from the sidelines of computing. The best part is that as computing becomes more powerful and biological data becomes more evident, jobs are going to shift from the lab to computers, and Bio-IT is going to be the real future of biotechnology.
Do not delay; join us in this journey, learning AI ML in drug discovery, AI ML in biology or bioinformatics, or AI ML in chemistry. Today, you are at the cusp of a revolution. The question is, will you choose the revolution, or will you just watch it take away your job?
