Visual Data Mining on Proteins and Biomedicine Crystallisation PhD 36 months PHD Program By Loughborough University |Top Universities
Subject Ranking

# 201-250QS Subject Rankings

Program Duration

36 monthsProgram duration

Tuitionfee

28,600 Tuition Fee/year

Application Deadline

10 Feb, 2025Application Deadline

Program overview

Main Subject

Engineering - Chemical

Degree

PhD

Study Level

PHD

Study Mode

On Campus

Visual Data Mining on Proteins and Biomedicine Crystallisation PhD

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

Visual Data Mining on Proteins and Biomedicine Crystallisation PhD

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:

More programs from the university

PHD programs 368