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AI Therapeutics

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Drug Discovery Optimization
Biomarker Identification
Genomic Data Analysis
Drug Repurposing

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io9 leverages machine learning to enhance cancer diagnostics and therapeutics, focusing on biomarker identification and pattern discovery.

Operator of a pathology therapeutic selection platform intended to detect genomic biomarkers and make access to possible treatments. The company's platform specializes in providing cancer diagnosis, new targets for cancer treatment, and new therapeutic approaches, enabling researchers to make cancer detection and care more equitable around the globe.
  • Biomarker Identification
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United States20212NA
Oct 14, 2024

Vindhya Data Science leverages machine learning for genomic analysis, discovers patterns in biological data, and facilitates drug discovery, making it a strong fit for the requirements.

Operator of a US-based data science company intended to leverage data analysis for impactful life science and drug discovery insights. The company offers expert data analysis in bioinformatics, genomics, and AI, unlocking hidden patterns and trends within complex biological datasets, enabling customers to make informed decisions in drug discovery, biomarker identification, and genomic analysis.
  • Genomic Data Analysis
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Boston (United States)20211 - 10NA
Oct 14, 2024

My Next Health leverages machine learning and genomic data analysis to discover new health patterns and develop personalized therapeutics.

Provider of functional genomics services intended to optimize human health and performance. The company specializes in researching DNA through clinical trials and digital therapeutic platforms and provides consultancy and supplement recommendations, enabling clients to improve their health and accelerate the transition to precision medicine.
  • Genomic Data Analysis
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Netherlands202151 - 200NA
Oct 14, 2024

DNAlytics leverages machine learning to enhance precision medicine, discover patterns, and expand therapeutic options, making it a strong fit for the requirements.

Developer of data-driven healthcare technologies designed to help the life sciences field deploy healthcare products and services through data-driven healthcare strategies. The company specializes in data sciences, biomanufacturing, health management, research and development, and technology related to data-driven healthcare, and software, enabling healthcare companies in the development of drugs, medical or diagnostics devices, for clinical research, data sciences can boost their projects and reinforce your team's expertise and resources.
  • Genomic Data Analysis
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Ottignies-Louvain-la-Neuve (Belgium)20121 - 10$53.85KGrant, $53.85K, April 1, 2015
Oct 14, 2024

Genuity Science leverages machine learning for genomic data analysis, discovering patterns and expanding therapeutic options to improve patient health.

Developer of a global genomics platform focused on discovery in CNS, cardiometabolic and inflammatory disease markets. The company offers a platform that studies biological data insights, design, sequencing, storage and interpretation, secondary analysis and scalable analytics, thereby enabling organizations to improve patient health using the human genome.
  • Genomic Data Analysis
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United States201351 - 200$455.00MAcquired by HiberCell, August 2021
Oct 14, 2024

PersMed Co. effectively leverages machine learning for genomic data analysis, discovering patterns and expanding therapeutic options in cancer treatment.

PersMed Co., working on analyzing genomic data, with a specific focus on cancer, we are contributing to a field that has the potential to make a significant impact on healthcare. With the increasing availability of genomic data, we are able to study the underlying genetic causes of cancer in unprecedented detail, opening up new possibilities for the development of more effective treatments and prevention strategies. Our work involves analyzing large amounts of genomic data to identify patterns and anomalies that may be associated with cancer. By applying advanced statistical and machine learning techniques to this data, we can uncover important insights into the molecular mechanisms underlying cancer development and progression. Your research has the potential to lead to the development of new diagnostic tools and targeted therapies that can improve patient outcomes and quality of life. By understanding the genetic basis of cancer, we can develop more precise and personalized treatment options that are tailored to each patient's unique genetic profile. Overall, our work in analyzing genomic data for cancer research is an important contribution to the field of healthcare. With our expertise in data analysis and genomics, we are well-positioned to make significant contributions to the development of new cancer treatments and prevention strategies that can improve the lives of millions of people around the world.
  • Genomic Data Analysis
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Iran20201 - 10NA
Oct 14, 2024

StoneWise effectively leverages machine learning and integrates various scientific disciplines to enhance drug discovery, thereby expanding therapeutic options.

Developer of an artificial Intelligence platform designed to accelerate novel drug discovery. The company's platform is designed by cutting-edge technologies such as artificial intelligence and microfluidics, integrated with computational chemistry, computational biology, pharmacology and clinical medicine. The company's platform provides a vast range of services such as medical knowledge graphs, molecular generation and design, ADMET prediction etc., improving the efficiency and success rate of early stage drug discoveries.
  • Drug Discovery Optimization
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China201851 - 200$110.00MSeries B, $100.00M, April 12, 2021
Oct 14, 2024

REPO-TRIAL effectively leverages machine learning to discover new therapeutic uses for existing drugs, enhancing their value and application in clinical settings.

Our project develops a computerized (in silico) approach to optimise the efficacy and precision of drug repurposing trials. De novo drug design requires 10 to 15 years until market entry. We want to help patients faster and more efficiently. In comparison to de novo drug design, drug repurposing can happen much faster, costs less, and imposes a lower risk. The time for validation of a known drug’s potential new purpose is significantly reduced because less or no animal experiments are required, clinical studies can be conducted sooner, potential side effects are already known. So far, finding a new use for an old drug (drug repurposing) has been a serendipitous process. REPO-TRIAL aims to improve the efficacy and precision of predicting new purposes for registered drugs by using a revolutionary in silico approach. We use computer-based algorithms and an innovative definition of diseases to screen for potentially beneficial effects of registered drugs in mechanistically related disease phenotypes. We then validate promising in silico-repurposed candidate drugs up to the clinical level. The algorithms that we use to identify mechanistically related disease phenotypes may include completely different organs or areas of the human body than the original was used for. This systems-based (integrative / whole-body) approach will create “virtual patient cohorts”. Finally, we will validate in silico repurposed drugs in actual clinical studies with real patients and high precision. Because validation of all new drug repurposing opportunities would be unrealistic, we will focus on a patient cohort that the REPO-TRIAL consortium understands very well (a) metabolic and cerebrocardiovascular disease phenotypes, such as stroke, diabetes or Alzheimer’s, or b) patients that are positive for a specific panel of diagnostic blood biomarkers that can be measured in the laboratory). REPO-TRIAL will provide rapid patient benefits, reduce drug development time & costs, and reduce risks.
  • Drug Repurposing
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Netherlands20182NA
Oct 14, 2024

Acutis Biosciences leverages machine learning for biomarker discovery and supports the development of new therapeutics, enhancing precision medicine.

Acutis Biosciences is a subsidiary Contract Research Organization (CRO) under the ownership of Acutis. At Acutis Biosciences, we are reimagining biomarker discovery at the intersection of DNA, RNA, and protein diagnostics, and rewriting the rules to champion our biopharma partners. Our focus isn't just pioneering drug discovery and development; it's also forging an era of service excellence, setting a new standard in the industry to elevate precision medicine to another level. We specialize in enabling biopharmaceutical companies to discover biomarkers through advanced multi-omics analysis solutions powered by machine learning (ML) and artificial intelligence (AI). Our technology platforms in genomics and histopathology support our partners in development and validation of state-of-the-art cancer molecular diagnostic assays, in oncology, immuno-oncology and infectious diseases. Leading pharmaceutical and biotech companies trust us to deliver 11-star service coupled to extraordinary science. Learn more: www.acutisbiosciences.com
  • Biomarker Identification
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United States202251 - 200NA
Oct 14, 2024

e-NIOS leverages machine learning for genomic data analysis, enabling the discovery of new patterns and the development of novel therapeutics.

Operator of genomic data analysis and interpretation platform designed to automate biomarker discovery for precision medicine. The company's platform offers an unsupervised analysis of complex genomic, and multi-omic data, and accelerates the discovery of critical biomarkers, and the technology incorporates biological knowledge into data mining, enabling researchers to deliver novel molecular markers or targets for diagnostics and therapeutics.
  • Genomic Data Analysis
  • Biomarker Identification
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Greece20131 - 10$233.37KSeed, $109.31K, January 10, 2016
Oct 14, 2024