Evidence map›Paper›PMID 42698049›Full record

ArticleThe AAPS journal2026

Betting on Biology: Rethinking Probability as the Currency of Risk in Biotechnology Portfolios.

Rajesh Krishna

Abstract read
PubMed Publisher
In one paragraph

Article in The AAPS journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Rajesh KrishnaIndependent Researcher, Princeton, New Jersey, USA. rk.emax@proton.me.ORCID http://orcid.org/0000-0002-3127-9732

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Uncertainty is an integral facet to the biotechnology and life sciences industry. From early target drug discovery to regulatory approval and commercialization, investment decisions are made under conditions of incomplete knowledge and asymmetric information. Indices of probability, particularly probability of technical and regulatory success, probability of clinical success, and risk-adjusted net present value, have become foundational tools for structuring these uncertainties within portfolio decision-making frameworks. However, their interpretation and application often lack conceptual precision and contextual nuance. This commentary examines the use of probability indices in describing and managing portfolio risk in biotechnology and life sciences. It reflects on their role in assigning risk to new drug targets, novel therapeutic modalities, and stage-specific development programs.

Indexed as

BiotechnologyDecision MakingDrug DiscoveryHumansProbabilityRisk AssessmentUncertaintyinnovationnew modalitiesportfolio riskprobability

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.