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Let's Go Beyond the Hype!

Combining academic excellence and industry expertise in Life Sciences to inspire smart people to do amazing things with data that solve real world problems that have purpose.

About Us

Who we are

At Bayezian we recognise that artificial intelligence has the potential to improve humanity for the greater good.

We’re a team of scientists, engineers, ethicists and more, committed to the application of artificial intelligence to advance science and benefit humanity.

 

Professional Growth

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Our Work

Our Work

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You have data and a deep understanding of the problems and opportunities you face. 

 

We have proven capabilities and a research mindset to solve them.

PHARMACEUTICAL & HEALTH

Pharmaceutical and health businesses have always relied on empirical data in order to identify patterns, test theories and understand the efficacy of treatments. 

Bayezian is at the forefront of life sciences & applied artificial intelligence combining new ideas and advances in R&D and clinical operations.

01.

Adaptive Clinical Trial Design

Adaptive designs can make clinical trials more flexible by utilising results accumulating in the trial to modify the trial's course.

02.

Clinical Resource & Finance Forecasting

Ideate and deliver a more accurate resourcing and financial forecasting model to effectively predict biostatistic and clinical programming resource  & financial requirements for clinincal trails.

03.

Accelerating Drug Discovery & R&D

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"Bayezian brings a new level of energy and I can truly say their research mindset hugely compliments my team" - Head of R&D - Pharmaceutical

04.

Bayezian's Approach to Breast Cancer Survival Prediction: Leveraging AI and Machine Learning on Genomic Data While Navigating Pitfalls

Bayezian's paper focuses on using AI and machine learning to predict breast cancer survival durations by analyzing genomic data. It highlights the complexities of this approach, including addressing distribution disparities, missing data, confounding variables, and correlated data. The paper emphasizes the need for robust modeling to ensure clinical viability and outlines future prospects for enhancing predictive accuracy, ultimately aiming to provide clinicians with dependable insights for improved patient outcomes.

ENVIRONMENT, SOCIAL & GOVERNMENT

As stakeholders demand more environmental, social and governance (ESG) efforts, regulations tighten and consumers increasingly expect brands to take action, organisations must now demonstrate that they are purposeful about sustainability, hold strong ethical standards and operate responsibly in everything they do.

05.

 

An Introduction to ESG

Modelling climate risk and measuring impact on specific asset classes and commodities.

BAYEZIAN INCUBATOR

WELCOME TO THE
BAYEZIAN INCUBATOR

Bayezian solves complex business problems and accelerates the discovery of new ideas with results you can understand and trust.

Idea 2
Case Study 1 Adaptive trials
Cse Stud 2 Resource planning
Case Study 3 Biomarker
Case Study Genomics
Case Study 5 ESG
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DRIVING MORE IDEATION WITHIN THE INCUBATOR

DELIVERING PROJECTS FASTER AT A LOWER COST

MAXIMISING THE BENEFITS IN PRODUCTION

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DATA IDEATION

Driven by the Bayezian Data Ideation Platform we undertake low-cost "Always On" Data Ideation helping our clients accelerate the early proof-of-concept and proof-of-value stage for a given set of hypotheses enabling them to prioritise use cases and identify the moonshots.

"The Bayezian Incubator enables me to very quickly identify which use cases I'm going to invest in." - Head of Data Science - Pharmaceutical.

Detecting Unfit Gamblers through (Voice)

To ideate the possibility of detecting stress in voice, we used data from The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS) with audio analysis to identify speech which included the extraction of over 1000 spectral features before unsupervised machine learning techniques (XGBoost) were applied.

Reducing Fish Mortality in UK Rivers (Data)

Limiting fish mortality within our rivers caused at pumping stations -- 30% reduction in strike risk. Developed as an R / R- Shiny Application based on existing method created as part of a Netherlands Standard (NEN8775).

Improving Male Fertility (Vision)

Driving insights into male fertility by applying machine learning techniques to classify instances of altered fertility rates from an individuals lifestyle and environmental factors, while also building an object detection model and a convolutional neural network to evaluate sperm quality from video data.

Medical Paper Recommendation Engine (Language)

A content-based recommendation engine that provides similar and complimentary scholar papers whilst identifying correlation between papers adopting Universal Sentence Encoders and BERT (Bidirectional Encoder Representations from Transformers) for Natural Language Processing.

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CONTACT

Floor 8, New Kings Beam House

22 Upper Ground

London

SE1 9PD

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