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A foundational understanding of disease biology and pathophysiology serves as the roadmap for successful drug discovery and development efforts. It requires the researcher to identify the key pathways and targets fundamental to disease initiation, progression and manifestation. Unraveling these disease mechanisms and interplay of molecular processes can pave the way for the design of targeted therapies that address the root causes of disease.

Developing this understanding is not always simple: diseases are complex and multifaceted, with intricate interactions between genetic, environmental, and lifestyle factors. Heterogeneity within diseases further complicates the picture, requiring a nuanced approach for personalized treatments. Additionally, diseases can exhibit diverse manifestations across various body systems, demanding a holistic understanding of their systemic impact.

Disease Pathophysiology introduction image

Build comprehensive understanding of the disease state

  • Discover insights quickly by diving into the disease biology. Investigate how disease is formed across therapeutic areas by looking at the causative and cellular mechanisms, the specific genes or proteins involved in its development and how they are regulated or expressed in specific cell types.
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  • Explore pathways to connect what happens upstream or downstream of a gene, enzyme or target. Use it to deeply understand the relationship between disease and the gene, protein or target at the tissue, genetic or cellular level, especially for diseases where the disease biology is not yet well understood.
Build comprehensive understanding of the disease state

Knowledge graph based hypothesis generation

  • Uncover hidden biochemical pathways or molecular processes that mediate the effects of a gene or protein on disease using the multi-hop module.
Knowledge graph based hypothesis generation

Collaborate to build shared understanding

  • Collaborate among multidisciplinary teams, including biologists, pharmacologists, and computational biologists, to enhance the understanding of disease pathophysiology.
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  • Easily share novel findings, data, and resources to help fill knowledge gaps and create a holistic view of the disease mechanisms.
Collaborate to build shared understanding

Build comprehensive understanding of the disease state

  • Discover insights quickly by diving into the disease biology. Investigate how disease is formed across therapeutic areas by looking at the causative and cellular mechanisms, the specific genes or proteins involved in its development and how they are regulated or expressed in specific cell types.
  •  
     
  • Explore pathways to connect what happens upstream or downstream of a gene, enzyme or target. Use it to deeply understand the relationship between disease and the gene, protein or target at the tissue, genetic or cellular level, especially for diseases where the disease biology is not yet well understood.
Build comprehensive understanding of the disease state

Improve Target Prioritization

Identify and prioritize drug targets that are more likely to be involved in the pathogenesis of the disease.

Increase Likelihood of Therapeutic Success

Rational drug design based on the understanding of underlying mechanisms, pathways and molecular interactions involved in the disease enables more targeted therapies.

“An advantage of Causaly is where I am investigating the mechanism of action for a gene of interest - I can use the platform to understand the cellular and molecular function of the gene in the disease and it will point me towards best publications to review.” 
Senior Scientist
Top 50 Pharma 
"I have mainly been using Causaly for exploring new therapeutic areas, and it has been very helpful for understanding whether an asset can be applied to other diseases, particularly the Delta Analysis feature which has proved to be quicker than doing a manual review of the literature."
Senior Scientist
Top 20 Pharma 
“An advantage of Causaly is where I am investigating the mechanism of action for a gene of interest - I can use the platform to understand the cellular and molecular function of the gene in the disease and it will point me towards best publications to review.” 
Senior Scientist
Top 50 Pharma 
"I have mainly been using Causaly for exploring new therapeutic areas, and it has been very helpful for understanding whether an asset can be applied to other diseases, particularly the Delta Analysis feature which has proved to be quicker than doing a manual review of the literature."
Senior Scientist
Top 20 Pharma 
“An advantage of Causaly is where I am investigating the mechanism of action for a gene of interest - I can use the platform to understand the cellular and molecular function of the gene in the disease and it will point me towards best publications to review.” 
Senior Scientist
Top 50 Pharma 
"I have mainly been using Causaly for exploring new therapeutic areas, and it has been very helpful for understanding whether an asset can be applied to other diseases, particularly the Delta Analysis feature which has proved to be quicker than doing a manual review of the literature."
Senior Scientist
Top 20 Pharma 

Therapeutic Areas Resources

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Elizabeth Bolitho • August 20, 2023

Understanding Insecticide Resistance in Mosquitoes

Vector-borne diseases account for over 17% of all infectious diseases, posing a threat to over half the global population. However, the indiscriminate use of insecticides has led to the development of resistance in mosquitoes.

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Elizabeth Bolitho • July 19, 2023

Pharmacogenomic Insights: Temozolomide in Glioblastoma

Pharmacogenomics is an emerging field that combines pharmacology and genomics to identify genetic factors influencing individual responses to medications. This innovative approach opens doors to more effective and personalized therapies, promoting patient safety and providing tailored treatment options.

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Elizabeth Bolitho • July 11, 2023

Exploring the Role of CD36 in Nonalcoholic Steatohepatitis (NASH)

Nonalcoholic steatohepatitis (NASH) is a progressive liver condition characterized by inflammation, cell damage and fibrosis. NASH affects up to 6% of the United States population, and is becoming a significant health concern. Statistics indicate that up to 10% of individuals diagnosed with NASH will develop cirrhosis, causing permanent liver damage.

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Elizabeth Bolitho • May 30, 2023

Exploring the Latest Developments in Multiple Sclerosis: A 5-Year Overview

As we celebrate World MS Day on 30th May 2023, it’s a great opportunity to reflect on the significant strides that have been made in MS research over the past 5 years.

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Andrew Taylor • July 29, 2019

Advancing Clinical Care using AI: A case of Hemorrhagic Disease of Newborn

Working as a pediatrician caring for ill, hospitalized children is a tremendously rewarding occupation, but getting it right can be hard. Evidence-based medicine has now been a standard all physicians are directed to follow for at least the last few decades, but how is a clinician to meet that standard when working in a field of medicine that has limited existing evidence?

New Insights in Renal Cell Carcinoma using Artificial Intelligence Featured Image
Yiannis Kiachopoulos • May 31, 2019

New Insights in Renal Cell Carcinoma using Artificial Intelligence

In all areas of biomedicine, it is crucial for researchers to stay up to date and informed of developments in their respective field of study. Nowhere is this more important than in the field of cancer research, which consistently tops the annual charts of research-spend and subsequent volumes of research-output.

AI for Clinical Decision Support – What conditions cause female infertility? Featured Image
Yiannis Kiachopoulos • March 20, 2019

AI for Clinical Decision Support – What conditions cause female infertility?

Clinical Decision Support tools are a crucial part of modern healthcare provision. Patient outcomes are improved when medical staff are able to make clinical decisions based on the best evidence, and point of care tools are now ubiquitous across a wide range of clinical settings.

Understanding Clinical Outcomes of Spinal Muscular Atrophy Featured Image
Avijeet Chopra PHD,MBA • January 29, 2019

Understanding Clinical Outcomes of Spinal Muscular Atrophy

Spinal muscular atrophy (SMA) is a rare autosomal recessive disease, characterized by progressive degeneration of muscular motor neurons. SMA has a prevalence of 1-2 per 100,000 persons and an incidence of 1 in 10,000 live births. Heterogeneity of symptoms in SMA, making the diagnosis and treatment challenging to the clinicians.