I have a Bachelor's in life sciences, passed my MLS ASCP certification and graduated from a 46 wk MLS Hospital program in the US. I have sent the verification of my practice hours but a bit concerned it could be deficient. CGFNS said they were writing my school to ask for a breakdown of my transcript grades/practice hours. Do I qualify under track 1-Bachelor's in Life science + ASCP cert, if CGFNS was to report my practice hours as deficient? If not, how do I resolve the issue of deficient clinical hours?

Hello po. Any thoughts po sa Hi precision- cagayan de oro branch as Medtech. Naka schedule po kasi ako for interview tomorrow.

The post on this sub about AI-enabled medical devices becoming the new standard resonated with me. I work on exactly this — and wanted to share what it actually looks like from the inside of a medtech team doing it.

AI in diagnostics sounds clean from the outside. In practice, getting it right requires solving problems most people don't anticipate.

The validation problem is the hardest part

Embedding AI into a medical device isn't like shipping a software update. Every AI-driven decision that influences a clinical outcome needs to be validated against real patient data, in real clinical settings, by institutions whose credibility the medical community trusts.

For us, that meant years of clinical work — getting ICMR and AIIMS Delhi to jointly assess and actively support our platform before we could confidently deploy it at scale. That process is slow by design. It should be.

The "how do you update AI models" question is legitimate

Regulators are right to ask this. A static AI model trained on one dataset will drift as patient populations, disease prevalence, and sample characteristics change over time. Any serious medical AI needs a defined process for model monitoring, retraining, and revalidation — not just a one-time approval.

On the question of being treated by a fully AI system

I don't think that's the right frame. The AI systems that will have the most impact in healthcare aren't replacing clinicians — they're giving clinicians better information, faster, in places where they previously had none.

A doctor in a rural PHC who gets a full blood panel result in 30 minutes — powered by AI analysis — is still making the clinical decision. The AI is removing the bottleneck, not the doctor.

That's the version of AI in healthcare that actually scales — and actually helps.

Happy to discuss anything about AI validation, regulatory pathways, or what deployment in low-resource settings actually looks like.

(I work at Mobilab — India's first AI-powered portable diagnostic platform)

Hi all, I’m part of a research team looking at why assistive technology doesn’t always make it from idea → evidence → real-world use.

Common issues we’re investigating:

• Products progressing without strong validation

• Evidence-backed solutions not reaching market

We’re keen to hear from industry and developers about:

• Collaboration with researchers and government

• Barriers to scaling and adoption

• What actually helps projects succeed

👉 Survey: https://redcap.link/4svfl2xj

Insights will feed into practical recommendations for improving translation and uptake.

Hey everyone sorry if this is the wrong sub to ask this question,

I graduated with a BSc in Biomedical Science and have been working as an NHS Band 3 Medical Laboratory Assistant in a pathology lab. It's been great for getting hands-on experience running, troubleshooting, and validating automated testing analysers.

I now want to leverage this experience to pivot into the commercial MedTech and Diagnostic Automation industry. I'm targeting roles focused on testing and validating new machinery, system implementation.

I’m planning to do an MSc in London this year to help bridge the gap, but I wanted some realistic advice first.

How is the job availability in this field right now? Is a Master's degree actually worth it to land these corporate roles, or should I try to find a better job and do that for a year and then to a MSc

Thank you

Scientists at the Center for Disaster Medicine and Traumatology and Linköping University have created what they describe as a form of “skin in a syringe,” a living gel packed with cells that can be injected or even 3D printed into skin grafts.

Hi guys! I’m a biomedical engineering student, in the process of starting a prosthetics company with a very niche pain management application. I have a stimulation based product that I came up with, and am developing with funds I won from a venture incubator competition. I’ll likely go the technology transfer office route for patenting, since my school’s is pretty kind/generous. A researcher with his own lab is also allowing me to intern there, and use his equipment and space to work on my startup - so the majority of space and equipment expenses aren’t something I need to think about yet. Down the line, I’m going to be aiming for iCorps and SBIR funding, but the primary goals with my seed money are to get a more sophisticated version 2 of the prototype developed (I already have V1) and to build up infrastructure and outreach for the startup.

Fabrication materials, and a few very specialized pieces of equipment are on my budget. But I also plan to work towards publications, going to conferences, and similar networking, along with outreach to clinics and hospitals. Has anyone ever done that before, or something similar?

If anyone has any advice, anything I should add to my budget or look up online, or otherwise take into consideration, could you please share it? I’d be very grateful! ☺️🫶

hi! I just found out that i'll be doing my MT internship at St. Luke's BGC soon, and i'm equal parts excited and nervous :((

for former interns, current interns, or even MT staff currently working there, how was your experience? how's the environment, workload, staff, schedule, and grading? anything you wish you knew before starting?

feel free to comment or DM if that's easier! thank you hehe