The AI Revolution in Research and Leadership: A Personal Journey

It was a typical Monday morning, and I was already drowning in a sea of research papers. As the CEO of Asu Vanda Gene Industrial Research Company and a dedicated researcher, my days were a constant juggle between managing a growing team and staying on top of the latest developments in genetics. The pressure was immense, and I often felt like I was falling behind.

That’s when I discovered the power of AI tools. These weren’t just fancy gadgets or buzzwords; they were practical solutions that transformed my daily routine, making my work more efficient and impactful. In this story, I want to take you on a journey through my day, showing you how AI has become my indispensable ally in both research and leadership.

The Morning Struggle: Taming the Literature Beast

Every researcher knows the dread of a literature review. It’s like trying to drink from a firehose—there’s just too much information, and it’s hard to know what’s truly valuable. That Monday morning, I was preparing a paper on genetic prognostic factors in gliomas, and I needed to make sure my references were solid.

Enter Scite.ai. This AI tool didn’t just show me how many times a paper had been cited; it told me whether those citations supported or contradicted the findings. It was like having a personal assistant who had already read and analyzed every paper for me. Within minutes, I had a list of credible studies, and I could focus on the ones that truly mattered. What used to take hours now took a fraction of the time.

Midday Crunch: Making Sense of Data

As the day progressed, I shifted gears to data analysis. In genetics, data is everything, but it’s also overwhelming. We were working on a project to predict outcomes based on genetic sequences, and the dataset was massive. Manually sifting through it was out of the question.

That’s where TensorFlow and PyTorch came in. These machine learning platforms allowed me to develop and train models that could handle the complexity of our data. But it wasn’t just about processing power; I needed to understand why the AI was making certain predictions, especially in a field as critical as medical research.

Explainable AI tools were the answer. They made the AI’s decision-making process transparent, ensuring that our findings were not only accurate but also trustworthy. In our glioma project, these tools helped us interpret the model’s predictions, giving us the confidence to apply them in real-world scenarios.

Afternoon Decisions: Leading with Insight

As a CEO, my afternoons are often filled with high-stakes decisions. Last year, we were considering a major investment in a new genetic research initiative. The data was overwhelming, and the risks were high. I needed a way to make sense of it all.

That’s when I turned to AI-driven decision support systems. These tools analyzed our datasets and provided insights that were crucial for our strategy. They didn’t make the decision for me, but they gave me the clarity I needed to see the best path forward. Thanks to these tools, we pivoted to a more promising research direction, leading to a breakthrough that has since become a cornerstone of our work.

Evening Reflections: Writing with AI

By evening, it was time to put pen to paper—or rather, fingers to keyboard. Writing research papers used to be a daunting task, especially with tight publication deadlines. But now, with generative AI tools like ChatGPT, the process is smoother than ever.

For my recent article on genetic prognostic factors, I used AI to help structure the literature review and ensure my arguments were clear and coherent. It was like having a co-author who could handle the heavy lifting, allowing me to focus on the creative aspects of research, like interpreting results and developing new hypotheses.

The Bigger Picture: AI for Sustainable Growth

At Asu Vanda Gene, we’re not just about innovation; we’re committed to sustainability. AI plays a key role in this mission. Tools that support AI for sustainable healthcare services help us align our research with long-term goals, such as reducing environmental impact and improving healthcare accessibility.

For example, we’re exploring how AI can optimize resource use in genetic testing, making it more efficient and eco-friendly. It’s not just about profit; it’s about creating solutions that benefit society and the planet.

A New Dawn: Your Invitation to the AI Revolution

As I look back on that Monday, I realize how far I’ve come. AI tools have not only made my work more efficient but have also opened up new possibilities for innovation and growth. They’ve transformed me from a researcher drowning in papers to a leader making data-driven decisions with confidence.

If you’re a researcher, entrepreneur, or simply someone looking to make your life easier, I encourage you to explore these tools. Start small—maybe with a literature review tool or a writing assistant—and see how AI can transform your workflow. The modern AI world is full of opportunities, and with the right tools, you can create something truly remarkable.

What AI tools have you tried? Share your experiences in the comments below, and let’s inspire each other to push the boundaries of what’s possible.

Mohammad Mehdi Sabaghpour Azarian is the CEO of Asu Vanda Gene Industrial Research Company and a published researcher in genetics. His work focuses on leveraging AI to advance genetic research and sustainable healthcare solutions.