poster

What is Personalised Healthcare all about?

It is more important to know what sort of person has a disease than what sort of disease a person has.
Hippocrates

At Roche, we believe personalised healthcare can transform patients’ lives by delivering care tailored to the individual, thereby helping to prevent, diagnose and treat patients more effectively and quickly.

 

How does it work?

Past

Patients who suffered from a broad category of disease were treated with the same medicines, leaving physicians to puzzle over why they worked for some people and not others.

Present

Scientists have begun to understand, target, and diagnose illnesses on a molecular level. Cancer, for instance, is not one disease, but the result of innumerable genetic mutations. We are now aware that there are 250 to 300 types and subtypes of cancer.

The approach to treatment has fundamentally changed. Doctors can identify the drivers of the disease and therefore better predict how well a patient is going to respond to a treatment. With the help of sophisticated diagnostic tests and tools, specific genetic defects or other malfunctions can be detected and treated.

But our understanding of medicine continues to grow. For instance, we are just beginning to learn what drives illnesses such as Alzheimers’. And the experience of millions of patients in the clinic every day is captured on paper, stored in archives and never tapped into to understand whether and how treatments can be improved.

Future

In an era of digital technology, we will be able to increasingly tailor medical treatment to the needs of individuals and small groups of patients. Far more information will be captured, stored and analysed to learn how diseases manifest themselves and how patients experience them day-to-day. Combined with a deeper understanding of molecular science and new methods for diagnostics, this development will bring disruptive change to how we research, develop, approve and pay for medicines, as well as how patients and their physicians make decisions about whether, when and how to treat their illnesses.


 


 

What is changing?

From primarily looking at the disease location in the body >

to understanding what drives a disease at the molecular level.

From trial and error >

to continuously learning from every patients’ experience and diagnosis.

From one-size-fits all medicines >

to treatment decisions fitted to patient’s unique need.

From paper records >

to a digital loop of sharing insights between clinical practice and research.

Who benefits?

  • Physicians

    • • Increased confidence in treatment decisions and improved outcomes for patients

    • • Greater clarity in an increasingly complex landscape of treatment options
  • Patients

    • • Improved quality of life and lifetime gained

    • • Fewer unnecessary treatments, side effects and associated costs through smarter decisions on whether, when and how to treat

    • • Greater peace of mind with higher probability of success
  • Society

    • • More efficient use of funds in the healthcare system

    • • Higher cure rates

    • • Lower burden of disease

Which diseases are we addressing today?

Genomics

  • Pan-tumor
  • Non-small cell lung cancer
  • Breast cancer
  • Prostate cancer
  • Bladder cancer
  • Colorectal cancer
  • Non-Hodgkin lymphoma
  • Acute myeloid leukemia
  • Spinal muscular atrophy
  • Huntington's disease
  • Duchenne muscular dystrophy
  • Ophthalmology
  • Real world data

  • Pan-tumor
  • Non-small cell lung cancer
  • Breast cancer
  • Prostate cancer
  • Bladder cancer
  • Melanoma
  • Colorectal Cancer
  • Non-Hodgkin lymphoma
  • Acute myeloid leukemia
  • Spinal muscular atrophy
  • Huntington's disease
  • Duchenne muscular dystrophy
  • Ophthalmology
  • Multiple sclerosis
  • Digital health

  • Multiple sclerosis
  • Parkinson's disease
  • Huntington's disease
  • Alzheimer's disease
  • Acute myeloid leukemia
  • Non-small cell lung cancer
  • Haemophilia
  • Spinal muscular atrophy
  • Duchenne muscular dystrophy
  • Autism spectrum disorder
  • Asthma
  • Idiopathic pulmonary fibrosis
  • lnflammatory bowel disease
  • Advanced imaging

  • Multiple sclerosis
  • Alzheimer's disease
  • Ophthalmology:
    - Age-related macular degeneration
    - Diabetic macular edema
  • Non-small cell lung cancer

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    Tags: Science, Innovation, Personalised Healthcare, Digital health