健康1 month ago · 1 次试用
Free Patient Education Handouts for Clinics — Download as PDF | ClinicsFlows
定制并下载免费患者教育资料，涵盖14+医疗专科，无需注册。
zainwah · HN
Show HN: ClinicsFlows – 2000 free patient handouts, brand or AI-generate
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定制并下载免费患者教育资料，涵盖14+医疗专科，无需注册。
zainwah · HN
Show HN: ClinicsFlows – 2000 free patient handouts, brand or AI-generate
医学住院医师考试题库，包含数千道题目，按专科分类，提供模拟测试和学习统计。
@beneplb · X
- medical question bank
参与校园问卷调查或答题赚取积分。
@vibetribeorg996 · X
Check out what I just built with Lovable!
个性化学习、ACT/SAT备考、作文支持和100多语言音频辅导。
@vrajshroff · X
Personalized learning for students
搜索医疗诊所以验证其具体医疗技术、设备和治疗等级，在付款前做出明智决定。
@maximiliananth · X
Cartsy - The Ultimate Student Marketplace
@cart_sy · X
The marketplace for student entrepreneurs
粘贴YouTube链接生成学习笔记、抽认卡和考试题目。
@costin_gh07 · X
These threads are great for impressions but weak for real traffic — everyone drops, few click. Still, here's mine: turns any YouTube lecture into study notes in 60s. Anyone actually convert from these?
Master JEE Mains, JEE Advanced, NEET UG and competitive exams with AI-driven chapter-wise question practice, syllabus trend analysis, and step-by-step solutions on RankBit.
@SujalXudy · X
Hey! 👋 Full Stack Dev & Solo Founder building RankBit (a free NTA CBT platform). 💻 Focus: Web Dev, Full Stack, Startups & LeetCode 🚀 Always happy to connect with fellow builders! My website link --
上传处方照片后自动获得WhatsApp药物提醒，无需安装应用
@buckycodes · X
Focus with a customizable study timer, track study hours by subject, build streaks, manage daily tasks, and stay accountable with student leaderboards.
@MayoDevs18 · X
Vajra AI 是 AI 原生的佛教智慧平台，提供经文阅读、AI 问答和笔记练习。
@Neymarnad · X
最近一直在做的 Vajra AI 已经上线了。 这是一个 AI-native 的智慧学习平台，希望用 AI 帮助大家更深入地阅读、理解和实践经典智慧。 如果你有空，欢迎体验一下，也很期待听听你的真实反馈。 🔗
探索医学放射性核素的衰变链动画、辐射和临床应用。
@NazimCoskun · X
Radionuclide Explorer: This is an interactive resource for learning about common radionuclides used in nuclear medicine. It emerged out of curiosity: How far could an AI coding agent get with a real reference site in a single session? The whole thing including the layout, dataset and decay animations, was built in roughly one hour entirely by Claude Code, with only a few minor improvements.