Interviews & Features

These medical technology features offer insights from seasoned professionals in the field through interviews and expert-written content. They explore issues within specific medical field communities, what to know before entering various careers, and valuable perspectives from contemporary leaders and professors.

With AI, pharmaceutical companies can accelerate the drug discovery process, enhance the precision of targeting specific diseases, and significantly reduce the time and cost associated with bringing new medications to the market. AI's ability to analyze vast datasets and uncover patterns invisible to the human eye opens up new opportunities for personalized medicine and novel treatments.

In the rapidly evolving healthcare landscape, adopting advanced technologies plays a pivotal role in shifting the focus from treatment to prevention. Artificial intelligence (AI) stands out as a transformative force among these technologies. AI algorithms are increasingly harnessed to predict, prevent, and manage potential health issues, offering a proactive approach to medicine that promises to enhance patient outcomes and optimize healthcare resources.

Neuralink, a U.S. startup co-founded by Elon Musk, works on "brain-computing interfaces," known as BCI, which connect the brain to digital technology. Such devices come in different forms: Some are surgically implanted into peoples' heads, while others are noninvasive and sit outside of a person's body. In May 2023, the product received approval from the Food and Drug Administration for clinical trials, but it has yet to hit the market.

We're already entwined with neurotechnology in ways that once seemed the exclusive domain of science fiction. From direct interfaces like brain-computer interfaces (BCIs) that enable individuals to control prosthetic limbs or communicate without physical movement, neurotechnology is steadily blurring the lines between the brain's organic processes and digital augmentation.

brain computer interface (bci) and other medical technologies

Medical technology has come a long way since the invention of eyeglasses and the stethoscope. The broader availability of mobile internet, the expansion of a more affluent middle class, and an aging global population are all driving change in the healthcare industry, and the associated technology is changing faster than ever before.

Partly propelled by the pandemic and partly by the momentum of technological innovation, the last few years have marked the beginning of a whirlwind of rapid change within the healthcare sector. The use of telehealth has stood the test of time, now a permanent option at many hospitals and private practices across the country. Meanwhile, a host of AI-based tools have entered the scene, modernizing diagnostics, patient monitoring, and interpretations of images and scans. Additionally, a shift in the type of healthcare that will be in the highest demand is also underway.

The aging U.S. population is rapidly increasing demand for many jobs in the health sector, which has become the fastest-growing part of the national economy. Although many medical jobs require advanced degrees—physicians, nurses, surgeons, etc.—the role growing fastest across most states is generally accessible to anyone with a high school diploma.

In the short amount of time since AI has been actualized, its powerful abilities in data analysis, pattern recognition, and prediction have been widely used to optimize business operations—revolutionizing fields like tech, finance, customer service, and manufacturing just to name a few. Outside of corporate applications of the technology—which primarily serve to reduce business costs and fatten bottom lines—AI also stands to revolutionize the sciences.

clinical lab scientists review slide

When one considers the money saved by attending school for one or two years instead of four or eight, there are some extremely attractive opportunities in medical technology careers in 2024.

Precision medicine, a revolutionary approach to healthcare, tailors treatment to the unique genetic makeup of an individual. This method departs from the traditional “one-size-fits-all” approach, considering the unique genetic variations, lifestyle, and environmental factors that influence each person's disease progression and response to treatment.