The role of immunotherapy in treating lung cancer: current status and future perspective

Lung cancers have the worst incident and mortality rates. Cancers such as advanced non-small-cell lung carcinomas are inoperable and often the only treatment available is chemo-radiotherapy. There has been little improvement in long-term survival recently, prompting research into novel treatments. Immune checkpoint inhibitors (ICIs) are a form of immunotherapy used in lung cancer. The efficacy of ICIs is dependent on: the part of the pathway affected; the presence of prognostic biomarkers; the method of efficacy assessment; the stage of the disease and other drugs involved. Monoclonal antibodies, Toll-like receptor agonists and cancer vaccines have shown modest effects on survival. Refinement of treatment regimens and prognostic biomarkers will help improve the survival of patients in the future.

Biofabrication of advanced in vitro and ex vivo cancer models for disease modeling and drug screening

Bioengineered in vitro models have advanced from 2D cultures and simple 3D cell aggregates to more complex organoids and organ-on-a-chip platforms. This shift has been substantial in cancer research; while simple systems remain in use, multi-tissue type tumor and tissue chips and patient-derived tumor organoids have grown rapidly. These more advanced models offer new tools to cancer researchers based on human tumor physiology and the potential for interactions with nontumor tissue physiology while avoiding critical differences between human and animal biology. In this focused review, the authors discuss the importance of organoid and organ-on-a-chip platforms, with a particular focus on modeling cancer, to highlight oncology-focused in vitro model platform technologies that improve upon the simple 2D cultures and 3D spheroid models of the past.

Role of pharmaceutical sciences in future drug discovery

The recent emergence of COVID-19 influenced the layman’s knowledge of drugs. Although several drugs have been discovered serendipitously, research has moved to the next-generation era of drug discovery. The use of drugs is inevitable and they have become lifesavers in the present era. Although research from different scientific backgrounds has supported the translational research of drug discovery, the prime role of pharmacy has to be remembered. Here we have summarized the role of some important subjects in pharmacy education, which have paved different ways in drug discovery and development.

Artificial intelligence in drug design: algorithms, applications, challenges and ethics

The discovery paradigm of drugs is rapidly growing due to advances in machine learning (ML) and artificial intelligence (AI). This review covers myriad faces of AI and ML in drug design. There is a plethora of AI algorithms, the most common of which are summarized in this review. In addition, AI is fraught with challenges that are highlighted along with plausible solutions to them. Examples are provided to illustrate the use of AI and ML in drug discovery and in predicting drug properties such as binding affinities and interactions, solubility, toxicology, blood–brain barrier permeability and chemical properties. The review also includes examples depicting the implementation of AI and ML in tackling intractable diseases such as COVID-19, cancer and Alzheimer’s disease. Ethical considerations and future perspectives of AI are also covered in this review.

COVID-19 vaccines: challenges and promises of trials, manufacturing and allocation of doses

Tweetable abstract Reflections on challenges and promises of COVID-19 vaccine development show opportunities for innovation and collaboration between stakeholders.