A Deep Learning Strategy to Identify Cell Types across Species from High-Density Extracellular Recordings
Jun
18

A Deep Learning Strategy to Identify Cell Types across Species from High-Density Extracellular Recordings

Neural cell-type identification is crucial for understanding brain function and developing targeted therapeutics for brain dysfunction. While modern silicon probes can record hundreds of neurons simultaneously across all cell-types indiscriminately, they provide limited information about neuron identity. I will discuss how, through a multi-lab collaboration, we developed a strategy to reliably predict cell-type identity of cerebellar cortical neurons from their electrophysiological signatures. We used optogenetics to establish a ground-truth cell-type database and deep learning to build a semi-supervised classifier that can generalize across ​regions and species.

This event is part of the BCM Data Science Community monthly seminar series.

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From Concept to Collaboration: How CTPH Supports Your Research
Jun
24

From Concept to Collaboration: How CTPH Supports Your Research

Join the Consortium for Translational and Precision Health (CTPH) — the new CTSA hub serving Baylor College of Medicine and the University of Houston — for an introductory webinar on the comprehensive services available to faculty and investigators via the CTPH Resources & Services Program.

Whether you're launching a new study or seeking expert input for your ongoing research, CTPH offers a wide range of no-cost support services to help you move forward efficiently and successfully.

 

In this session, you’ll learn how to access:

  • Study design and protocol development consultation

  • Biostatistics and epidemiology support

  • IRB preparation and regulatory navigation

  • PK/PD (pharmacokinetics/pharmacodynamics) consultation

  • Bioethics guidance for sensitive or complex studies

  • Community engagement and recruitment strategies

  • Pilot project development and funding connections

  • Cross-institutional collaboration facilitation

  • Workforce development, mentoring, and training resources

Our team will also walk through how to request support and answer any questions about how we can best collaborate with your department or research team.

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Differences in Health Outcomes among Cancer Patients with Pre-Existing Disabilities and Co-Morbid Conditions
Jun
12

Differences in Health Outcomes among Cancer Patients with Pre-Existing Disabilities and Co-Morbid Conditions

Join us  for a webinar with Dr. Heather Becker, hosted by the Community and Stakeholder Engagement Module of the Consortium of Translational and Precision Health. Learn more about some of the common issues that cancer patients with disabilities experience and discuss how clinicians and public health programs and policy can help make the cancer recovery journey and participation in critical research programs easier for patients with disabilities.

Participants will learn to:

  • Recognize the prevalence of co-morbid conditions and other health risks that can contribute to cancer for people with disabilities

  • Identify the barriers to participation in clinical research for people with disabilities

  • Identify ways to improve cancer care for people with disabilities

This presentation is part of the Other Academic Voices CME program. Attendees are eligible to receive one hour of prescribed CME credit from the American Academy of Family Physicians (AAFP). Email kylie.schaper@bcm.edu with questions.  

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Design Backwards, Teach Forward
Jun
6

Design Backwards, Teach Forward

Design Backwards, Teach Forward

Using the Understanding by Design Framework to Develop Effective Courses and Curricula

Are you and your team developing teaching resources, curricula, or new courses? Do you want your learners to be truly engaged and achieve meaningful outcomes?

Join us for a dynamic, hands-on workshop where you'll explore Understanding by Design (UbD) — a proven framework that helps educators align learning outcomes, assessments, and instructional strategies. Whether you're starting from scratch or refining existing materials, this session will equip you with practical tools to design with clarity, intention, and impact.

Walk away with a solid foundation in backward design and a clear path to creating learning experiences that resonate.

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AI Chatbots as Research Assistants: Smarter Prompts, Better Outcomes
May
28
to May 30

AI Chatbots as Research Assistants: Smarter Prompts, Better Outcomes

AI Chatbots as Research Assistants: Smarter Prompts, Better Outcomes

A Hands-On Course on Using Chatbots
to Enhance Research Productivity

How can you get a large language model to summarize a 50-page research paper into a clear, concise abstract without losing key details? How do you make chatbots structure a literature review, extract key findings, or even format citations correctly?

In this short course, we’ll explore how prompt engineering helps researchers guide AI to produce high-quality, reliable outputs. You’ll learn:

  • How language models work

  • How to craft precise prompts

  • How to structure AI-driven information retrieval

Whether you’re drafting papers, preparing presentations, writing grants, extracting structured insights from large documents or just trying to get chatbots to stop bamboozling you with long and boring responses, mastering prompt engineering will give you the control you need to make AI work for you.

Wednesday, May 28 — Friday, May 30

9 a.m. - 11 a.m. CT

Alkek N104, Baylor College of Medicine Main Campus

Also available via Zoom

About the Course

The workshop will be offered in two-hour, practical hands-on sessions. A proof of completion (informal certificate) will be available for those who complete short assignments and a written exercise. Participants can attend either in person or via the Zoom session.

About the Speaker

Dr. Blaz Zupan is a professor of AI and machine learning at the University of Ljubljana, Slovenia and a visiting faculty member in the Huffington Department of Education, Innovation & Technology at Baylor College of Medicine. In Ljubljana, he leads a bioinformatics lab developing Orange, a widely used open-source data mining toolbox. An expert in explainable AI and data visualization, he has conducted 150+ hands-on workshops on AI, data science and machine learning.

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