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Layer 17 of 21 · Action and continuity

ToxCast Therapy toxicity risk and tolerability.

The best option on paper is not always the right one for a particular person. ToxCast is intended to surface toxicity and tolerability considerations relevant to the patient and the therapies under discussion, including pharmacogenomic (PGx) information where the testing pathway includes it.

Why it's needed

What toxicity or tolerability considerations may be relevant to the patient or therapy?

Tolerability considerations and PGx findings, sourced, alongside the options being weighed.

What it draws on

3 of 8 evidence domains.

Patient factorsTreatment exposureMolecular & genomicPatient factors (age, organ function, symptoms), treatment history and pharmacogenomic results where reported.

What it produces

Structured toxicity and tolerability considerations for clinical review.

Describe the actually implemented toxicity and tolerability evidence sources and patient factors used.

Why it's essential

Layer 17 of 21.

Adds tolerability context to the treatment-options section.

1 · What it does

What ToxCast does

The best option on paper is not always the right one for a particular person. ToxCast is intended to surface toxicity and tolerability considerations relevant to the patient and the therapies under discussion, including pharmacogenomic (PGx) information where the testing pathway includes it.

2 · Scientific question

The question it addresses

What toxicity or tolerability considerations may be relevant to the patient or therapy?

Intended function

Describe the actually implemented toxicity and tolerability evidence sources and patient factors used.

3 · Data inputs and required context

What it draws on

  • 07 Patient factors
  • 06 Treatment exposure
  • 01 Molecular & genomic

Patient factors (age, organ function, symptoms), treatment history and pharmacogenomic results where reported.

4 · Scientific basis

The science behind it

Scientific basis

Tolerability considerations draw on drug labelling, organ function, comorbidities, co-medications and, for some drugs, inherited pharmacogenomic variants for which professional dosing guidelines exist. Pharmacogenomics is one of Twin's integrated analytical features.

5 · Output and evidence sources

What it produces

Main output

Structured toxicity and tolerability considerations for clinical review.

Output type

  • Evidence-linked interpretation. Connects a finding to published or curated evidence, which has a source and a date.
  • Clinical-context integration. Depends on clinical information supplied by the treating team.

6 · Why it\u2019s essential

How it powers the Twin

Adds tolerability context to the treatment-options section.

Report section

Capability

Explore

Review treatment-relevant evidence, resistance-related findings and potential trial matches.

7 · Why it\u2019s needed

What it changes — for doctors, patients and researchers

Clinicians

Tolerability considerations and PGx findings, sourced, alongside the options being weighed.

Doctor & Clinical Team

Patients & caregivers

Side effects and quality of life are part of choosing a treatment.

Patient & Caregiver

Researchers

Structured tolerability context across cases.

Industry & Research

8 · Dependencies and limitations

Limitations

    9 · Review and uncertainty

    How the output is handled

    Output status

    An AI-assisted analytical output presented as structured findings for clinician review. It becomes part of a report only after the treating oncologist has reviewed and signed it.

    How uncertainty is communicated

    Considerations cite their source; PGx findings state the gene, the guideline used (once confirmed) and the route's PGx scope.

    10 · Claim boundary

    What this layer does not establish

    It does not determine dosing or predict whether a specific patient will experience a specific side effect.

    The treating oncologist owns every decision. Every Twin report is reviewed and signed by the treating oncologist, then taken to KPCIRC's Molecular Tumour Board.

    KPCIRC sign-off process

    Continue the journey

    Longitudinal monitoring

    Every change goes in.

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