Results 151 to 160 of about 787,943 (334)

The H2 Blockers' Rx-to OTC Switch: For Whom Will It Spell Relief? [PDF]

, 2012
Tylenol. Advil. Monistat 7. Imodium AD. These are some of the most commonly used, widely available, and successful drugs in the United States. All of them began as drugs only available by a prescription. All of them made a successful prescription-only to
Kisloff, Michelle A.
core  

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Is the Food and Drug Administration Safe and Effective? [PDF]

In the United States, drug safety and efficacy are primarily regulated by the Food and Drug Administration (FDA) and the legal system, which gives manufacturers large incentives to produce safe drugs and provide proper warnings for side effects, since ...
Eric Sun, Tomas J. Philipson
core  

cGMP Recombinant FIX for IV and Oral Hemophilia B Therapy [PDF]

, 2005
Three specific aims are proposed: Specific Aim # 1. Process engineer and scale-up the recovery and purification of transgenic recombinant human Factor IX.
Dernell, William, KEY PERSON, Julian, Cooper, LEAD INVESTIGATOR, Manning, Mark, LEAD INVESTIGATOR, Meagher, Michael, LEAD INVESTIGATOR, Mohanan, Paul, LEAD INVESTIGATOR, Nichols, Timothy, LEAD INVESTIGATOR, Stephan, Abramson, LEAD INVESTIGATOR, Swaanson, Todd, KEY PERSON, Van Cott, Kevin E., Velander, William H., PRINCIPAL INVESTIGATOR   +9 more
core   +1 more source

Light‐Responsive Enzyme‐Loaded Nanoparticles for Tunable Adhesion and Mechanical Wound Contraction

Advanced Functional Materials, EarlyView.
This study presents a photoactivatable enzyme‐loaded mesoporous nanoparticle system (MPDA_PaTy) that enables light‐triggered tunable tissue adhesion and facilitates mechanical wound contraction. Controlled enzymatic crosslinking at tissue or hydrogel interfaces allows on‐demand adhesion.
Junghyeon Ko, Hyeon‐Jin Kim, Jeong‐Uk Kim, Seh Ri Oh, Tae Hoon Kang, Junghwan Byun, Uk‐Jae Lee, Minglin Ma, Su‐Hwan Kim, Byung‐Gee Kim, Nathaniel S. Hwang   +10 more
wiley   +1 more source

The United States Food and Drug Administration (FDA) regulatory response to combat neglected tropical diseases (NTDs): A review. [PDF]

PLoS Negl Trop Dis, 2023
Mukherjee S.
europepmc   +1 more source

United States Food and Drug Administration and the Pharmaceutical Industry [PDF]

BMJ, 1961
openaire   +2 more sources

Bio‐Friendly Artificial Muscles Based on Carbon Nanotube Yarns and Eutectogel Derivatives

Advanced Functional Materials, EarlyView.
Solid‐state artificial muscles based on coiled commercial carbon nanotube yarns coated with eutectogel derivatives exhibit unipolar actuation through selective ion intercalation. Combining polyanionic and polycationic gels enables enhanced contractile stroke and high energy density.
Gabriela Ananieva, Cédric Vancaeyzeele, Giao T.M. Nguyen, Daniel Aguilera‐Bulla, Mathieu Pinault, Frédéric Vidal, Cédric Plesse   +6 more
wiley   +1 more source

AI-powered topic modeling: comparing LDA and BERTopic in analyzing opioid-related cardiovascular risks in women

Experimental Biology and Medicine
Topic modeling is a crucial technique in natural language processing (NLP), enabling the extraction of latent themes from large text corpora. Traditional topic modeling, such as Latent Dirichlet Allocation (LDA), faces limitations in capturing the ...
Li Ma, Li Ma, Ru Chen, Weigong Ge, Paul Rogers, Beverly Lyn-Cook, Huixiao Hong, Weida Tong, Ningning Wu, Wen Zou   +9 more
doaj   +1 more source

Artificial Intelligence and Machine Learning in the Diagnosis and Management of Stroke: A Narrative Review of United States Food and Drug Administration-Approved Technologies. [PDF]

J Clin Med, 2023
Chandrabhatla AS, Kuo EA, Sokolowski JD, Kellogg RT, Park M, Mastorakos P.   +5 more
europepmc   +1 more source