IVF in the Medically Complicated Patient

Each patient seeking assisted reproduction has a unique set of circumstances that affects the outcome of treatment. Particularly challenging are those patients with pre-existing medical conditions or those receiving medical therapies that may impact the safety and success of their IVF treatments. Prior identification and preparation of the patient at increased risk of complications will enable the clinician to avoid problems in advance, anticipate the necessary management, and optimize outcomes. This new expanded edition of a prize-winning text provides a readily accessible, authoritative, and didactic source of information to aid clinicians in this important field.

Auteur

Dr Monika Garg has been a scientist at NABI, Mohali for the past 14 years. She obtained a PhD and post-doctoral experience from Tottori University, Japan. She had also served in ICARDA, CGIAR, Syria. She has more than 70 publications in reputed journals with an h-index of 24 and served as an Editor/Reviewer for various journals. She is working on the biofortification of wheat and understanding its effect on lifestyle disorders. Her special interest lies in anthocyanin biofortified colored wheat.

Dr Saloni Sharma is a postdoctoral researcher in the Department of Genetics,University of Granada, Spain. Previously she worked as an ICMR-postdoctoral fellow at NABI, Mohali. Her research is on colored wheat crop genetics, genomics, stress-responsive physiology and studying wheat biofortification. She has published more than 30 research/review articles and book chapters in reputed journals with an h-index of 16 and served as an Editor/Reviewer for various journals.

Dr Apoorv Tiwari holds an M.Sc. from CSJM University, Kanpur, and M.Tech. and Ph.D. in Bioinformatics from SHUATS, Prayagraj, India. Currently working as Project Scientist at NABI. With over 50 publications in renowned journals along with editorial/reviewer roles, Dr. Tiwari's expertise encompasses crop genomics, proteomics, transcriptomics, GWAS, QTL mapping, statistical methodologies, and computer-aided drug design. His contributions have earned him recognition with the Young Scientist and Governor's awards.