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The sales of biopharmaceuticals and biotherapy from only Humira, Remicade, and Enbrel are over $18 billion in US in 2015. Protein therapy is expected to make about $250 billion in savings for US over the next 10 years. Manufacturing biopharmaceuticals in a cost effective and reliable route becomes a major challenge for meeting the rapidly growing demands of protein-based medicines. Moreover, the breakout diseases require fast delivery of the biopharmaceutical to the patient.
The protein crystallisation of proteins (like insulin) as one-step operation is more efficient, leading to advantages of stability storage, formulation and drug delivery. This PhD project aims to develop innovative methods on crystallisation of (bio)pharmaceuticals, by combining (i) visual data mining: capture and analysing the visual data of crystal photos, concentration profiles, etc. and (ii) machine learning: apply the machine-learning model to correlate the crystallisation conditions (input parameters) and properties of crystals (outcomes), to optimise the crystallisation conditions and process.
The success of this project will help to accelerate the protein crystallisation process, lower the cost and increase the efficiency of the biopharmaceutical manufacturing, to solve the challenges of the breakout diseases.
This is an open call for candidates who are sponsored or who have their own funding. If you do not have funding, you may still apply, however Institutional funding is not guaranteed. Outstanding candidates (UK/EU/International) without funding will be considered for any funding opportunity which may become available in the School.
The sales of biopharmaceuticals and biotherapy from only Humira, Remicade, and Enbrel are over $18 billion in US in 2015. Protein therapy is expected to make about $250 billion in savings for US over the next 10 years. Manufacturing biopharmaceuticals in a cost effective and reliable route becomes a major challenge for meeting the rapidly growing demands of protein-based medicines. Moreover, the breakout diseases require fast delivery of the biopharmaceutical to the patient.
The protein crystallisation of proteins (like insulin) as one-step operation is more efficient, leading to advantages of stability storage, formulation and drug delivery. This PhD project aims to develop innovative methods on crystallisation of (bio)pharmaceuticals, by combining (i) visual data mining: capture and analysing the visual data of crystal photos, concentration profiles, etc. and (ii) machine learning: apply the machine-learning model to correlate the crystallisation conditions (input parameters) and properties of crystals (outcomes), to optimise the crystallisation conditions and process.
The success of this project will help to accelerate the protein crystallisation process, lower the cost and increase the efficiency of the biopharmaceutical manufacturing, to solve the challenges of the breakout diseases.
This is an open call for candidates who are sponsored or who have their own funding. If you do not have funding, you may still apply, however Institutional funding is not guaranteed. Outstanding candidates (UK/EU/International) without funding will be considered for any funding opportunity which may become available in the School.
Admission Requirements
3.2+
6.5+
92+
10 Feb 2025
3 Years
Oct
Tuition fees
International
28,600
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Visual Data Mining on Proteins and Biomedicine Crystallisation PhD
Loughborough University, Loughborough, United Kingdom
# 201-250QS Subject Rankings
36 monthsProgram duration
28,600 Tuition Fee/year
10 Feb, 2025Application Deadline
Program overview
Main Subject
Engineering - Chemical
Degree
PhD
Study Level
PHD
Study Mode
On Campus
The sales of biopharmaceuticals and biotherapy from only Humira, Remicade, and Enbrel are over $18 billion in US in 2015. Protein therapy is expected to make about $250 billion in savings for US over the next 10 years. Manufacturing biopharmaceuticals in a cost effective and reliable route becomes a major challenge for meeting the rapidly growing demands of protein-based medicines. Moreover, the breakout diseases require fast delivery of the biopharmaceutical to the patient.
The protein crystallisation of proteins (like insulin) as one-step operation is more efficient, leading to advantages of stability storage, formulation and drug delivery. This PhD project aims to develop innovative methods on crystallisation of (bio)pharmaceuticals, by combining (i) visual data mining: capture and analysing the visual data of crystal photos, concentration profiles, etc. and (ii) machine learning: apply the machine-learning model to correlate the crystallisation conditions (input parameters) and properties of crystals (outcomes), to optimise the crystallisation conditions and process.
The success of this project will help to accelerate the protein crystallisation process, lower the cost and increase the efficiency of the biopharmaceutical manufacturing, to solve the challenges of the breakout diseases.
This is an open call for candidates who are sponsored or who have their own funding. If you do not have funding, you may still apply, however Institutional funding is not guaranteed. Outstanding candidates (UK/EU/International) without funding will be considered for any funding opportunity which may become available in the School.
Program overview
Main Subject
Engineering - Chemical
Degree
PhD
Study Level
PHD
Study Mode
On Campus
The sales of biopharmaceuticals and biotherapy from only Humira, Remicade, and Enbrel are over $18 billion in US in 2015. Protein therapy is expected to make about $250 billion in savings for US over the next 10 years. Manufacturing biopharmaceuticals in a cost effective and reliable route becomes a major challenge for meeting the rapidly growing demands of protein-based medicines. Moreover, the breakout diseases require fast delivery of the biopharmaceutical to the patient.
The protein crystallisation of proteins (like insulin) as one-step operation is more efficient, leading to advantages of stability storage, formulation and drug delivery. This PhD project aims to develop innovative methods on crystallisation of (bio)pharmaceuticals, by combining (i) visual data mining: capture and analysing the visual data of crystal photos, concentration profiles, etc. and (ii) machine learning: apply the machine-learning model to correlate the crystallisation conditions (input parameters) and properties of crystals (outcomes), to optimise the crystallisation conditions and process.
The success of this project will help to accelerate the protein crystallisation process, lower the cost and increase the efficiency of the biopharmaceutical manufacturing, to solve the challenges of the breakout diseases.
This is an open call for candidates who are sponsored or who have their own funding. If you do not have funding, you may still apply, however Institutional funding is not guaranteed. Outstanding candidates (UK/EU/International) without funding will be considered for any funding opportunity which may become available in the School.
Admission Requirements
Tuition fees
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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Using the Metabolome to Study Aging and Geroprotectors in 3D Cell Models PhD
Visual Data Mining on Proteins and Biomedicine Crystallisation PhD
Waste-derived Bioplastics for a Circular and Sustainable Food Packaging Economy PhD
Life Sciences and Medicine (6)
Adaptive and Predictive Computational Modelling of Biomaterials: A Digital Twin Framework for Next-Generation Personalised Healthcare PhD
Adaptive and Predictive Computational Modelling of Biomaterials: A Digital Twin Framework for Next-Generation Personalised Healthcare PhD
Biomarkers of Aging PhD
Biomarkers of Aging PhD
Developing Prescription Guidelines for Passive Heat Therapy PhD
Developing Prescription Guidelines for Passive Heat Therapy PhD
Does Socialised Real-Life Body Exposure Promote Body Image Positivity PhD
Does Socialised Real-Life Body Exposure Promote Body Image Positivity PhD
Energy Dissipation In Human Soft Tissue During Impacts PhD
Energy Dissipation In Human Soft Tissue During Impacts PhD
Natural Sciences (6)
Accelerated Screening and Synthesis of New Chemotherapeutic Agents for Pancreatic Cancer PhD
Accelerated Screening and Synthesis of New Chemotherapeutic Agents for Pancreatic Cancer PhD
Bespoke Organometallic Compounds for Anticancer Studies PhD
Bespoke Organometallic Compounds for Anticancer Studies PhD
Bio-based Sustainable Materials for Autonomous Thermal Management in Wearables PhD
Bio-based Sustainable Materials for Autonomous Thermal Management in Wearables PhD
Biomimmetic Catalytic Asymmetric Synthesis of the Bisorbicillinoids and Related Products PhD
Biomimmetic Catalytic Asymmetric Synthesis of the Bisorbicillinoids and Related Products PhD
Climate and Ecological Transitions Hub Studentship PhD
Climate and Ecological Transitions Hub Studentship PhD
Coherent State Methods in Spectral Asymptotics PhD
Coherent State Methods in Spectral Asymptotics PhD
Computational Modelling of Sustainable Alloys PhD
Designing Classroom Tasks To Improve Students’ Learning Of Mathematics PhD
Developing Novel Antibiofilm Coatings for Sustainable Biofilm-Free Surfaces PhD
Development of Hybrid Microcomb Sources with Topologically Protected Dark Resonances for Simultaneous Classical and Quantum PhD
Development of Novel Bicyclopentanes (BCP) Bioisosteres From Bench Stable [1.1.1]-Propellane Precursors PhD
Digital Twins for Biofilm Management PhD
Dispersionless Integrable Systems In 2+1 Dimensions PhD
Social Sciences and Management (6)
An Evaluation of Erasmus+ Sport Projects and Their Impact on EU Sport Policy Development PhD
An Evaluation of Erasmus+ Sport Projects and Their Impact on EU Sport Policy Development PhD
Climate Change, Work Design and Worker Wellbeing Phd
Climate Change, Work Design and Worker Wellbeing Phd
Communication and Social Change (CSC) Hub Studentship PhD
Communication and Social Change (CSC) Hub Studentship PhD
Enhancing Motivation in Sport and Exercise Contexts PhD
Enhancing Motivation in Sport and Exercise Contexts PhD
Out of School Youth Provision: An Analysis of Funding and Operational Resilience within the Sector PhD
Out of School Youth Provision: An Analysis of Funding and Operational Resilience within the Sector PhD