The development of next-generation therapeutics

The gap

Evidence profile

Sourced from the future-work section and future work of the source papers, classified as general, spanning 3 journals.

Supporting evidence — 3 representative gaps

• Current and Emerging Therapies Targeting the IL-23/IL-17 Axis in Psoriasis. (2026) · Biomolecules & Therapeutics · doi

  The development of next-generation therapeutics that balance efficacy, safety, and personalization. The integration of biologics, small molecules, and emerging cellular or genetically-engineered approaches for precision immunotherapy. The application of AI-based analytical tools to refine disease characterization and patient selection.

  generalfuture-work section
  Keywords: development next-generation therapeutics balance efficacy safety personalization integration
• Editorial: Advances in biomarkers and drug targets: harnessing traditional and AI approaches for novel therapeutic mechanisms (2026) · Frontiers in Pharmacology · doi

  less-studied diseases Looking forward, three priorities follow from the work assembled in this Research Topic. First, generalizable, multi- cohort datasets—particularly and in underrepresented populations—are essential to test whether AI- derived biomarkers are robust beyond their training environments. Second, mechanistic interpretability must continue to be a first-class objective alongside predictive performance; biomarkers that cannot be linked back to plausible biology will struggle to attract clinical and the field must move past regulatory confidence. Third, demonstration projects toward implementation science: cost- effectiveness analyses, health-system integration studies, and pragmatic trials of AI-enabled biomarker-guided care. We are grateful to the authors for their thoughtful contributions, to the reviewers whose careful evaluations have shaped the quality of this Research Topic, and to the editorial staff at Frontiers in Pharmacology for their support throughout the development of this Research Topic. We hope that the studies gathered here will both inform and challenge readers, and that they will help accelerate the integration of traditional pharmacological rigor with the analytical reach of artificial intelligence.

  generalfuture workevidence 5/5
  Keywords: topic first biomarkers must integration less studied diseases looking forward three priorities follow assembled generalizable
• The Road to Precision Medicine: Emergence of Molecular Imaging, Advances, and Artificial Intelligence Applicability (2026) · Smart Wearable Technology · doi

  Future research should focus on addressing the limitations and gaps in molecular imaging and AI-driven analytics. The development of more robust AI models and the integration of multi-omics data are potential areas of future research. The use of precision medicine in clinical practice and its potential to improve patient outcomes should be further explored.

  generalfuture-work sectionevidence 5/5
  Keywords: future research focus addressing limitations gaps molecular imaging

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