World Model · podcast knowledge graph

EP 8: Implementation of AI in scientific research

2022-12-27 · 29 min · episode 8 · 9 entities

episode page audio

Asserted relationships

  • → references Articles website
    0.77
    evidence rules-v5
    Link in episode "EP 8: Implementation of AI in scientific research": https://nature.com/articles/s4225
  • → references pubmed.ncbi.nlm.nih.gov concept
    0.77
    evidence rules-v5
    Link in episode "EP 8: Implementation of AI in scientific research": https://pubmed.ncbi.nlm.nih.gov/30674
  • → hosted by Soumava Dey person
    0.55
    evidence rules-v5
    Feed author/publisher: Soumava Dey
  • → discusses Technology company
    0.40
    evidence rules-v5
    Feed category: Technology

Entities found in this episode

concepts 3

  • mentioned pubmed.ncbi.nlm.nih.gov concept
    0.90
    evidence rules-v5
    Link in episode "EP 8: Implementation of AI in scientific research": https://pubmed.ncbi.nlm.nih.gov/30674
  • references pubmed.ncbi.nlm.nih.gov concept
    0.77
    evidence rules-v5
    Link in episode "EP 8: Implementation of AI in scientific research": https://pubmed.ncbi.nlm.nih.gov/30674
  • 0.42
    evidence rules-v5
    EP 8: Implementation of AI in scientific research

websites 2

  • mentioned Articles website
    0.90
    evidence rules-v5
    Link in episode "EP 8: Implementation of AI in scientific research": https://nature.com/articles/s4225
  • references Articles website
    0.77
    evidence rules-v5
    Link in episode "EP 8: Implementation of AI in scientific research": https://nature.com/articles/s4225

persons 2

  • mentioned Soumava Dey person
    0.70
    evidence rules-v5
    Feed author/publisher: Soumava Dey
  • hosted by Soumava Dey person
    0.55
    evidence rules-v5
    Feed author/publisher: Soumava Dey

companys 2

  • mentioned Technology company
    0.50
    evidence rules-v5
    Feed category: Technology
  • discusses Technology company
    0.40
    evidence rules-v5
    Feed category: Technology
Episode description as stored
This coffee chat session features a research scholar from academia who shared his perspectives and experience on how AI/ML plays a crucial role in scientific research in conjunction with the applicability of deep learning in profiling 🧬 expression analysis and other studies in molecular biology field. Guest speaker: Lukas Simon, PhD from Baylor College of Medicine http://linkedin.com/in/lukas-simon-01 ... Reading materials: If you are interested to know more about Lukas’s research work then please take a look at his publications related to implementation of deep learning to single-cell RNA sequencing data: 1. Autoencoders - https://pubmed.ncbi.nlm.nih.gov/30674 ... 2.Triplet neural networks - https://www.nature.com/articles/s4225 ... 3.Positive-unlabeled learning - https://pubmed.ncbi.nlm.nih.gov/34430 ...