Author: Lidziya Tarasenka

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Healthcare professional with a strong background in medical journalism, media redaction, and fact-checking healthcare information. Medical advisor skilled in research, content creation, and policy analysis. Expertise in identifying systemic healthcare issues, drafting reports, and ensuring the accuracy of medical content for public and professional audiences.

Artificial intelligence has already made significant advances. It really hasn’t been long since we discovered the immense benefits of generative AI with the launch of ChatGPT. But with agentic artificial intelligence, a new chapter is beginning. Systems that can operate on their own open new opportunities for efficiency, automation, and innovation.

The wave of COVID-19, coupled with its shocks, new social practices, and economic troubles, exerted an array of beneficial influences on the world of HealthTech. The urgent need for solutions, capable of assisting doctors with handling a seemingly never-ending influx of patients in a time-saving, distant, and accurate fashion, boosted the progress of tools in several areas.

The market for medical software is booming, but behind this growth lie growing risks. In the race for hypergrowth, both startups and large companies are increasingly launching products before fully validating their safety and effectiveness. This approach allows them to grab a market share quickly, but on the flip side, it can pose threats to patient safety and lead to serious regulatory issues.

Cloning a mammal – creating a genetic copy of an existing organism – is no longer science fiction. In 2018, the first viable cloned monkeys were born, demonstrating a proof of concept: biologically, there may be no absolute barrier to cloning a human: take an egg cell, remove its nucleus, insert the nucleus from an adult donor cell, stimulate it to develop into an embryo, and implant it into a surrogate mother. 

As of May 2025 the FDA has not approved any medical generative AI-based systems for general patient care. But more and more AI co-pilots that aim to assist clinicians are emerging.