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Amit Gupta

Amit Gupta

Director

Sep 11, 2026

4:56
What does diabetes care look like for someone in an underserved country compared to someone sitting in America right now?
5:06
So, uh, Rachel, this is something which I presented at the ADA also, and, uh, I wanted to talk about the, from the perspective of the people with diabetes.
5:14
So someone in America may be, uh, having, uh, access to world-class healthcare facilities, having access to the latest technologies, and, uh, still, uh, doing, using a lot of apps, applications, data dashboards, and managing diabetes.
5:28
So this is one scenario.
5:29
While on the other side, you may be having a person sitting in Africa and, uh, maybe you can say other Asian countries like India, where there may be, uh, challenges regarding day-to-day, uh, struggles of the life.
5:41
People sometime they have to travel a long distance to get access to the healthcare.
5:46
Uh, then, uh, there are challenges with the affordability, so the medicines may not be affordable.

10 MINS LATER

15:53
What do you want every single person watching this to understand about what is happening to the world's health right now?
5:44
Given everything that you and Tim have just described, can you tell us a little about how Siemens EDA is approaching this, particularly with the Fuse EDA AI agent? And if you could, expound a little upon what makes your approach different from simply layering AI on top of existing EDA tools.
6:05
tools.Yeah.
6:07
So we announced, uh, the Fuse EDA AI agent at the NVIDIA GTC conference in March, and we look at the AI offering that we provide in a few different layers.
6:17
So first of all, as, as Tim mentioned, uh, at the core is GPU-accelerated tools and engines that we're providing, and, uh, we use the cuDNN libraries to get faster engines.
6:29
That's gonna benefit, you know, the, the, the whole stack because if you have faster engines themselves, then you can get results more quickly with the same level of accuracy.
6:38
And then within the engine layer, you can also use reinforcement learning, machine learning techniques to be able to accelerate the engines as well.
6:47
So across our entire Siemens EDA portfolio, uh, all the different tools from front-end design, back-end design, analog, digital manufacturing, we have RL, ML-type techniques to accelerate the engines themselves.
11:00
Can you walk us through what that workflow looked like before agentic AI and what it looks like now for a team under that tape-out pressure?
24:39
Yeah
24:40
... given by God, not, not anybody else.
24:42
You have it.
24:44
But freedom comes with knowledge.
24:47
Knowledge is power.
24:48
So what happened with the...
24:51
As you say, most of it we saw with the insurance and all these rules and regulation doing, so it put a entanglement for the patient with c- confusion, and for the physician, rules and regulations and cutbacks.
29:17
S- so tell us how this, on the patient side, so if a patient's looking for a doctor, what do they do? Walk us through your site.
34:42
What did you speak about?
34:43
Well, what I spoke about was a focus on marijuana slash drugs.
34:49
The increased use of it, how it's affecting our surgery centers, how policies and procedures must be developed and implemented and changes to the staff and how they do things to help improve the patient care.
35:02
In terms of we don't want an anesthesiologist to make the wrong choice because the nurse didn't ask the right question or the nurse wasn't aware of something or didn't know that the person might have been on drugs.
35:12
THC are one of the related products because obviously we know everyone does THC now.
35:18
After that, I spoke about drug diversion, specifically more of the ways to recognize it, not just focusing on the regulatory aspect, which John looked at.
35:29
He was talking about the forms.

10 MINS LATER

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45:36
He
12:31
It's a tissue.
12:32
No, it's not.
12:33
I'm, I'm getting onto the definition.
12:35
So gyne mastia, female-like breast.
12:38
The definition does not talk about fat or gland.
12:42
All of us, men or women, are born with gland and fat.
12:46
In women, the gland is meant for milk production.

1 HR 12 MINS LATER

84:49
If there is any basic protocol that people can take away from what you guys do, so, so package as advice, right? What would each of you have to say about facial aesthetics, looks, and becoming just an overall एक ऐसा व्यक्ति जिसको देख के लोग बोले वाह यार?
1:48
So let's start with IDF, and then we're gonna dig into India a little bit and what progress you've made there.
1:53
So I think, uh, IDF, International Diabetes Federation, is a, one of the biggest organization in the field of diabetes, and it is a federation, so it has more than 250-plus members, and these members are scientific societies, as well as the patient, uh, led organizations as well.
2:09
And, uh, it is more than 75 years, uh, since IDF has, was established, and IDF has a very robust leadership, very committed leaders, and currently the p- uh, Dr. Peter Swords happens to be the president of the IDF.
2:23
And, uh, uh, IDF is doing a lot of work in terms of writing guidelines, policy, advocacy, and, uh, one of the flagship event of IDF, which is now UN-endorsed, which was actually proposed by the IDF, is World Diabetes Day, which we all celebrate on, uh, or mark on 14th of the November.
2:43
Uh, many of the educational activities, because I'm leading the IDF Education Committee, so we have IDF School of Diabetes, and IDF School of Diabetes has, uh, educational content both for the healthcare professionals as well as the, uh, people with, uh, diabetes, and, uh, these courses cover technology.
2:59
They talk about retinopathy.
3:01
They talk about multiple aspects and, uh, and similarly, uh, we have, uh, platforms where understanding diabetes better, uh, is a, one of the platform from the IDF itself.
6:29
What are some gaps that you see with diabetes education?

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