A Genomic Revolution: Advancing Health and Knowledge in Latin America
Bibliographic record
Abstract
Editorial: Pioneering Genetics and Genomics Research for Regional Progress As we enter the second year of the Genetics and Clinical Genomics Journal, there is much anticipation for the future of this field in the region. It’s remarkable to see how far we’ve come in such a short time. This journal was born from a vision to bring together the best of genetics and genomics research and make a meaningful impact on healthcare and education in our region. That vision is becoming a reality, thanks to the incredible contributions of our authors and the support of our readers. This issue features an impressive selection of articles that highlight the power of genomic research to transform lives. Our Case Reports section includes stories of rare and complex conditions where genetics has played a critical role: In Hypotonic syndrome as a manifestation of an ultra-rare disease caused by a novel de novo variant in the PLA2G6 gene, we see the intricate process of solving a diagnostic mystery and its profound implications for patient care. De novo variant in the COL1A1 gene associated with an orphan genetic disease: Type I osteogenesis imperfecta sheds light on a rare condition that challenges both families and clinicians but also presents opportunities for targeted treatments. De novo genetic variant in Epileptic Encephalopathy: The importance of specific diagnosis highlights how pinpointing a genetic cause can lead to more effective therapeutic strategies. Finally, Detection of a genetic variant in Apert syndrome examines a condition that, while rare, has significant developmental and therapeutic implications. Our Review Articles, Literature review and Advances and perspectives on genetic pathologies in the 21st century, provide valuable overviews of current trends and emerging possibilities, serving as essential guides for anyone engaged in genetic research or clinical practice. Why This Matters Genetics and genomics are no longer rare disciplines they’re reshaping how we understand health and disease. In our region, this knowledge has the potential to address long-standing healthcare inequities, ensuring that advances in precision medicine benefit all communities, not just a select few. Equally exciting is the role genetics can play in education. Training the next generation of healthcare providers and researchers to harness the power of genomics is essential. By investing in education, we’re laying the groundwork for a future where genomic medicine is fully integrated into everyday practice. This journal is a testament to what’s possible when we work together—scientists, clinicians, educators, and policymakers. It’s an invitation to keep pushing boundaries, asking tough questions, and finding answers that matter. Thank you for joining us on this journey. I hope you find this issue inspiring, thought-provoking, and a reminder of the incredible potential within genetics and genomics to create a healthier, more equitable world.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.020 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".