1. Equip an LLM with the right tools to navigate complex APIs (clinicaltrials.gov).

2. Stream structured UI components instead of plain markdown.

What we made:

- Backend (Python/FastAPI): wraps the clinicaltrials.gov API, exposes higher-level actions to the agent, and streams an XML-like markup.

- Frontend (React/TS): incrementally patches the partial stream and maps tags to React components (trial cards, phase progress bars, etc.) for live rendering.

Clinical-trial metadata is dense; cards and timelines surface the important bits faster than prose.

Links:

Demo: https://uptotrial.com

Code (Apache):

– Backend: https://github.com/MaterialModel/uptotrial-backend

– Frontend: https://github.com/MaterialModel/uptotrial-frontend

Next:

If there’s interest, I’ll break out the streaming-UI layer as a standalone OSS library. Feedback and PRs welcome!

Comments URL: https://news.ycombinator.com/item?id=43938585

Points: 4

# Comments: 0

Comments URL: https://news.ycombinator.com/item?id=42741959

Points: 1

# Comments: 1

So first time user touches feature A they are assigned to some trial arm T_A and then all subsequent interactions keep them in that trial arm until the trial finishes.

Comments URL: https://news.ycombinator.com/item?id=42627339

Points: 1

# Comments: 0

You emphasized systemic racism as being a major cause, but group differences can be both non-biologic and NOT related to systemic racism

> not only the value system of the victims but also that of the perpetrators and the system itself.

This assumes the answer (systemic racism) in the premise. The values of the system can be good (agency, hard work, academic pursuit, etc) and misaligned with some group. That group would then do poorly, but not because the system or its values are racist.

> And also consider the history.

I did, this is why I compared to early/mid 20th century Ashkenazi and mid/late 20th century Asians. Both were very persecuted.

> And consider the financial differences that often exist

Most asians fleeing to the US in mid 20th century were much poorer than both current as well as at that time median underperforming groups in the US.

> Consider destruction of cultures.

If anything, current underperforming groups (eg african americans) are famous for having a lot of cultural products. This is where they thrive.

> Consider the dietary and health issues that are faced.

Again, both ashkinazi and asian groups suffered famines + serious malnutrition. Very few in american disadvantaged groups are in danger of starvation or serious malnutrition.

> Consider the overwhelming economic and media environments that 7 years olds grow up within and how that environment is often more impactful than parents could ever hope to be.

Everyone has access to all the same media. There is a significant effort (which I agree with) to over-represent underprivileged groups as successful heroes in modern TV/etc. Parents have significant influence on which media mix is consumed and what counts as "success." Both asians and ashkinazi were represented very negatively in the media mix of mid 20th century, yet they thrived. Nigerian american diaspora today thrives as well (unlike most other african american groups).

> And, if we want to focus on biology, consider the role that vision, in particular color of skin, plays in our emotions, decision and behavior. Consider how we use color of skin to read health and emotions and intentions and how it might be harder to read those when the skin is imbued with unfamiliar tones and how on a population level, such misreads can build into mistrust and conflict.

I specifically didn't focus on biology, but Ashkenazi were clearly targeted based on how they looked. Caricatures of "the Jew" were popular and everywhere in early to mid 20th century Europe. People perceived them especially as untrustworthy. Asians are also obviously and easily identified by a quick look at their face. South asians also have "brown" skin color, that is very similar to that of disadvantaged groups in the US, yet they do well academically/financially/etc. Most people can't tell apart nigerian americans from other african americans, yet nigerian americans tend to do well.

---

In all of this i'm not saying hardship doesn't exist, or that racism doesn't exist, or that differences are biological. I am saying that there is a confounding factor that is essentially bigger then all of this. I think this confounder is "culture/value system" of the group. Not all cultures/value systems are equal, not all of them lead to the same outcomes, these differences are not racist.

And looking at actual outcomes in the US it’s easy to see that the truth is different. It’s not even white kids that come up on top, it’s mostly Asian kids (and before that Ashkinazi kids). It’s not because they have some institutional privilege. It’s because culture matters and valuing smarts and education is important not just for test taking but also for benefiting the society long term.

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See our current team on https://mdme.ai/about#team

If interested, email me at ilya@mdme.ai

We want to help every person to feel in control of their healthcare: to know what's going on with their body and to not feel alone.

MDandMe (https://mdme.ai) builds generative AI technology that allows people to make sense of their health at all steps along their healthcare journey: from a conversational symptom checker when you first feel unwell, to a community where you are matched to others with near-identical medical histories, to follow-up conversations where you can have diagnostic reports, lab values, and doctors notes explained in plain language.

Since our soft launch in February 2024, we’ve helped over 50,000 people in all 50 states. To learn more read our recent blog: https://mdme.ai/blog/2024/06/03/in-the-know

We are looking for a Mobile SWE (React Native, iOS + Android): over 93% of our traffic comes from mobile devices. Right now we are a React/NextJS webapp and are currently building a React Native mobile app. https://swift-step-f49.notion.site/Mobile-SWE-06f94fd945bd4f...

See our current team on https://mdme.ai/about#team

If interested, email me at ilya@mdme.ai

We want to help every person to feel in control of their healthcare: to know what's going on with their body and to not feel alone.

MDandMe (https://mdme.ai) builds generative AI technology that allows people to make sense of their health at all steps along their healthcare journey: from a conversational symptom checker when you first feel unwell, to a community where you are matched to others with near-identical medical histories, to follow-up conversations where you can have diagnostic reports, lab values, and doctors notes explained in plain language.

Since our soft launch in February 2024, we’ve helped over 50,000 people in all 50 states. To learn more read our recent blog: https://mdme.ai/blog/2024/06/03/in-the-know

We are currently looking for two positions:

1. Mobile SWE (React Native, iOS + Android): over 93% of our traffic comes from mobile devices. Right now we are a React/NextJS webapp and are currently building a React Native mobile app. https://swift-step-f49.notion.site/Mobile-SWE-06f94fd945bd4f...

2. Data Journalism Intern: uncover insights that can help our community thrive. We hope to share trends, common health questions from our users, and more in a weekly blog post. https://swift-step-f49.notion.site/Data-Journalism-Intern-55...

See our current team on https://mdme.ai/about#team

If interested, email me at ilya@mdme.ai