Results 151 to 160 of about 215,782 (380)
This study developed a biomimetic scaffold incorporating PDRN and melatonin to restore ovarian function in chemotherapy‐induced premature ovarian insufficiency, enhancing cell survival, folliculogenesis, and hormone normalization, while improving fertility rates and offspring in a mouse model, offering a promising strategy for ovarian function ...
Da‐Seul Kim+8 more
wiley +1 more source
Towards Personalized Modeling of the Female Hormonal Cycle: Experiments with Mechanistic Models and Gaussian Processes [PDF]
In this paper, we introduce a novel task for machine learning in healthcare, namely personalized modeling of the female hormonal cycle. The motivation for this work is to model the hormonal cycle and predict its phases in time, both for healthy individuals and for those with disorders of the reproductive system. Because there are individual differences
arxiv
Intumescences on Poplar Leaves. III. The Role of Plant Growth Hormones in Their Production [PDF]
Carl D. La Rue
openalex +1 more source
This proof‐of‐concept study involves high‐throughput teratogenicity screening of compounds using XEn/EpiCs, a 3D stem cell‐based embryo model, within microwells. The term ‘morphotoxicity’ is introduced to complement traditional cytotoxicity assays through automated feature extraction and machine‐learning‐assisted classification of morphologies.
Vinidhra Shankar+4 more
wiley +1 more source
The limitations of existing clinical treatments highlight the need for a more comprehensive strategy for addressing infected diabetic wounds. A tri‐layered scaffold is developed to deliver therapeutics loaded in CuBDC and ZIF‐8 MOFs that are tailored to the requirements of deep‐infected diabetic wounds.
Ayse Gunyakti Mujtaba+8 more
wiley +1 more source
DyCeModel: a tool for 1D simulation for distribution of plant hormones controlling tissue patterning. [PDF]
Azarova DS+4 more
europepmc +1 more source
A Dual-Hormone Closed-Loop Delivery System for Type 1 Diabetes Using Deep Reinforcement Learning [PDF]
We propose a dual-hormone delivery strategy by exploiting deep reinforcement learning (RL) for people with Type 1 Diabetes (T1D). Specifically, double dilated recurrent neural networks (RNN) are used to learn the hormone delivery strategy, trained by a variant of Q-learning, whose inputs are raw data of glucose \& meal carbohydrate and outputs are dual-
arxiv
Molecular factors involved in the formation of secondary vascular tissues and lignification in higher plants [PDF]
The formation of secondary vascular tissues involves complex processes and many steps, a number of which have been examined in detail in this study. A novel CuZn-SOD, with a high pI and thus denoted hipI-SOD, was identified and characterized in Pinus ...
Karlsson, Marlene
core
This review explores how advanced materials enhance Bio‐FETs for precision healthcare and biosensing. It covers their working principles, surface functionalization, and ultra‐sensitive detection capabilities. The integration of flexible designs, AI, and IoT for real‐time monitoring is discussed, along with challenges like material reproducibility and ...
Minal Pandey+5 more
wiley +1 more source