Publications

Publications.

The team of scientists at Herophilus develops groundbreaking advancements in biotechnology and machine learning. We aim to publish and share our findings with the global research community to collectively advance the fields of neurobiology, disease research and drug discovery.

Cell specificity of adeno-associated virus (AAV) serotypes in human cortical organoids

Cell specificity of adeno-associated virus (AAV) serotypes in human cortical organoids

14 April 2023 bioRxiv
Read More
Using Cerebral Organoids to Develop MECP2-Activating Drugs for Rett Syndrome

Using Cerebral Organoids to Develop MECP2-Activating Drugs for Rett Syndrome

24 March 2023 Rett syndrome research trust
Read More
Herophilus Discovery Engine in action: Targeting synaptogenesis

Herophilus Discovery Engine in action: Targeting synaptogenesis

1 March 2023 Herophilus
Read More
Herophilus Orchestra: the best Drug Discovery Operating System you’ve never heard of

Herophilus Orchestra: the best Drug Discovery Operating System you’ve never heard of

31 January 2023 Herophilus
Read More
Neuroimmune cortical organoids overexpressing C4A exhibit  multiple schizophrenia endophenotypes

Neuroimmune cortical organoids overexpressing C4A exhibit multiple schizophrenia endophenotypes

23 January 2023 bioRxiv

Herophilus developed the first complex in vitro model of C4A induced schizophrenia. Read about it in our bioRxiv preprint.

Read More
Genomics… and AI… then what?

Genomics… and AI… then what?

11 August 2022 Herophilus

Every data/AI-driven drug discovery company must eventually do real-world biology experiments. A new class of human in vitro experimental models is ripe to serve this need.

Read More
Data science, human intelligence, and therapeutics discovery: An interview with Sean Escola, Saul Kato, and Pavan Ramkumar

Data science, human intelligence, and therapeutics discovery: An interview with Sean Escola, Saul Kato, and Pavan Ramkumar

8 April 2022 Cell Patterns

Herophilus leaders explain the importance of data science in their research, exploring a score that identifies hierarchical confounder effects in raw data and machine learning-derived data embeddings.

Read More
Getting real about curing polygenic brain disease.

Getting real about curing polygenic brain disease.

1 March 2022 Herophilus

Lone single-target approaches, are doomed to fail in the quest to cure polygenic neurological diseases such as Alzheimer’s, schizophrenia, Parkinson’s, and autisms — ironically, common neurological diseases of high prevalence. A new approach is needed.

Read More
RTG: New methods for machine-learning confounder analysis.

RTG: New methods for machine-learning confounder analysis.

22 February 2022 Cell Patterns

Explore how Herophilus approaches hierarchical confounder discovery in the experiment–machine learning cycle in recent paper in Cell Patterns.

Read More
Demuxalot: scaled up genetic demultiplexing for single-cell sequencing.

Demuxalot: scaled up genetic demultiplexing for single-cell sequencing.

28 May 2021 BioRxiv

Herophilus is working on new methods in transcriptomic analysis. Read about our bioRxiv preprint and open source code release of Demuxalot.

Read More
Scaling brain organoids for disease phenotyping.

Scaling brain organoids for disease phenotyping.

20 August 2020 bioRxiv

Learn how Herophilus optimizes the scaling of patient-derived brain organoids to uncover deep phenotypes of disease in our bioRxiv preprint.

Read More