ycliper

Популярное

Музыка Кино и Анимация Автомобили Животные Спорт Путешествия Игры Юмор

Интересные видео

2025 Сериалы Трейлеры Новости Как сделать Видеоуроки Diy своими руками

Топ запросов

смотреть а4 schoolboy runaway турецкий сериал смотреть мультфильмы эдисон
Скачать

Lab-in-the-Loop: Smarter AI for Antibody Design

Автор: Twist Bioscience

Загружено: 2025-10-16

Просмотров: 1071

Описание: Designing therapeutic antibodies is a complex process, often slowed by costly, time-intensive experimental searches.

This webinar introduces Lab-in-the-Loop, a new approach that combines AI-driven design with targeted lab testing to accelerate antibody discovery. By combining generative models, predictive analytics and active learning in an iterative workflow, this method streamlines optimization and reduces experimental burden.

Join our expert speaker to discover how this new approach dramatically improved antibody variants and identified strong therapeutic candidates across multiple clinically relevant targets – illustrating how cutting-edge AI can transform biologic drug development.

Attend this webinar to:
Understand the Lab-in-the-Loop framework and its integration of AI, predictive modeling, active learning and lab testing to streamline therapeutic antibody design

Learn how iterative optimization across four key targets (EGFR, IL-6, HER2, OSM) improved binding affinity and uncovered high-potential antibody candidates

Explore the impact of AI-driven approaches on reducing experimental burden, accelerating discovery timelines and improving the quality of antibody therapeutics

Не удается загрузить Youtube-плеер. Проверьте блокировку Youtube в вашей сети.
Повторяем попытку...
Lab-in-the-Loop: Smarter AI for Antibody Design

Поделиться в:

Доступные форматы для скачивания:

Скачать видео

  • Информация по загрузке:

Скачать аудио

Похожие видео

Enabling faster therapeutic antibody discovery through an integrated AI/ML-wet lab platform

Enabling faster therapeutic antibody discovery through an integrated AI/ML-wet lab platform

Enhancing Antibody Developability with AI: A Design-Make-Test-Decide Approach.

Enhancing Antibody Developability with AI: A Design-Make-Test-Decide Approach.

Material Abundance: Radical AI’s Closed-Loop Lab Automates Scientific Discovery

Material Abundance: Radical AI’s Closed-Loop Lab Automates Scientific Discovery

Iterative Refinement Graph Neural Network for Antibody Docking and Design

Iterative Refinement Graph Neural Network for Antibody Docking and Design

Artificial Intelligence Tools for Antibody Engineering and Protein Docking

Artificial Intelligence Tools for Antibody Engineering and Protein Docking

Владимир Пастухов и Максим Курников | Интервью BILD

Владимир Пастухов и Максим Курников | Интервью BILD

4 Hours Chopin for Studying, Concentration & Relaxation

4 Hours Chopin for Studying, Concentration & Relaxation

Мета-анализ более 150 программ разработки антител с использованием трансгенных мышей для получени...

Мета-анализ более 150 программ разработки антител с использованием трансгенных мышей для получени...

Лучший документальный фильм про создание ИИ

Лучший документальный фильм про создание ИИ

Deep House Mix 2024 | Deep House, Vocal House, Nu Disco, Chillout Mix by Diamond #3

Deep House Mix 2024 | Deep House, Vocal House, Nu Disco, Chillout Mix by Diamond #3

RFdiffusion

RFdiffusion

Positive February Jazz ☕ Delicate Winter Jazz Cafe & Smooth Bossa Nova Instrumental for Relaxation

Positive February Jazz ☕ Delicate Winter Jazz Cafe & Smooth Bossa Nova Instrumental for Relaxation

1. Цитология Мембрана Транспорт Органеллы

1. Цитология Мембрана Транспорт Органеллы

Divine Music - The Year Mix Vol.10 [Chill & Ethnic Deep 2025]

Divine Music - The Year Mix Vol.10 [Chill & Ethnic Deep 2025]

Computational Antibody Discovery Symposium: Introduction, Pietro Sormanni (University of Cambridge).

Computational Antibody Discovery Symposium: Introduction, Pietro Sormanni (University of Cambridge).

Optimizing Target Enrichment for Complex Genomes: A Case Study in Southeastern Blueberries

Optimizing Target Enrichment for Complex Genomes: A Case Study in Southeastern Blueberries

Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences

Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences

Faster Answers, Fewer Steps: Streamline Your Targeted Sequencing with Trinity Freestyle™

Faster Answers, Fewer Steps: Streamline Your Targeted Sequencing with Trinity Freestyle™

Building Lab-in-the-Loop ecosystems: from concept to application

Building Lab-in-the-Loop ecosystems: from concept to application

CU AI for Science Seminar - Dr. Kyunghyun Cho on Deep Learning for Molecular Design

CU AI for Science Seminar - Dr. Kyunghyun Cho on Deep Learning for Molecular Design

© 2025 ycliper. Все права защищены.



  • Контакты
  • О нас
  • Политика конфиденциальности



Контакты для правообладателей: [email protected]