Current status and future prospects in cannabinoid production through in vitro culture and synthetic biology

M Hesami, M Pepe, A Baiton, AMP Jones - Biotechnology Advances, 2023 - Elsevier
For centuries, cannabis has been a rich source of fibrous, pharmaceutical, and recreational
ingredients. Phytocannabinoids are the most important and well-known class of cannabis …

Machine learning-assisted approaches in modernized plant breeding programs

M Yoosefzadeh Najafabadi, M Hesami, M Eskandari - Genes, 2023 - mdpi.com
In the face of a growing global population, plant breeding is being used as a sustainable tool
for increasing food security. A wide range of high-throughput omics technologies have been …

Machine learning: its challenges and opportunities in plant system biology

M Hesami, M Alizadeh, AMP Jones… - Applied Microbiology and …, 2022 - Springer
Sequencing technologies are evolving at a rapid pace, enabling the generation of massive
amounts of data in multiple dimensions (eg, genomics, epigenomics, transcriptomic …

New insight into ornamental applications of cannabis: Perspectives and challenges

M Hesami, M Pepe, A Baiton, SA Salami, AMP Jones - Plants, 2022 - mdpi.com
The characteristic growth habit, abundant green foliage, and aromatic inflorescences of
cannabis provide the plant with an ideal profile as an ornamental plant. However, due to …

Machine learning-mediated development and optimization of disinfection protocol and scarification method for improved in vitro germination of cannabis seeds

M Pepe, M Hesami, AMP Jones - Plants, 2021 - mdpi.com
In vitro seed germination is a useful tool for developing a variety of biotechnologies, but
cannabis has presented some challenges in uniformity and germination time, presumably …

Understanding Cannabis sativa L.: Current Status of Propagation, Use, Legalization, and Haploid-Inducer-Mediated Genetic Engineering

DC Simiyu, JH Jang, OR Lee - Plants, 2022 - mdpi.com
Cannabis sativa L. is an illegal plant in many countries. The worldwide criminalization of the
plant has for many years limited its research. Consequently, understanding the full scope of …

Toward sustainable culture media: Using artificial intelligence to optimize reduced-serum formulations for cultivated meat

A Nikkhah, A Rohani, M Zarei, A Kulkarni… - Science of The Total …, 2023 - Elsevier
When considering options for future foods, cell culture approaches are at the fore, however,
culture media to support the process has been identified as a significant contributor to the …

[PDF][PDF] Cannabis sativa: applications of artificial intelligence and plant tissue culture for micropropagation

RB Malabadi, TL Nethravathi, KP Kolkar… - … Journal of Research …, 2023 - researchgate.net
This review paper highlights about the important applications of Artificial Intelligence (AI)
and in vitro micropropagation of Cannabis. Cannabis micropropagation has largely been an …

Machine Learning-Assisted In Vitro Rooting Optimization in Passiflora caerulea

M Jafari, MH Daneshvar, S Jafari, M Hesami - Forests, 2022 - mdpi.com
In vitro rooting as one of the most critical steps of micropropagation is affected by various
extrinsic (eg, medium composition, auxins) and intrinsic factors (eg, species, explant). In …

Machine learning-mediated Passiflora caerulea callogenesis optimization

M Jafari, MH Daneshvar - PLoS One, 2024 - journals.plos.org
Callogenesis is one of the most powerful biotechnological approaches for in vitro secondary
metabolite production and indirect organogenesis in Passiflora caerulea. Comprehensive …